Relevant bibliographies by topics / Visualization of patient data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Visualization of patient data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Visualization of patient data.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Visualization of patient data"

1

Pilipczuk, Olga, Dmitri Eidenzon, and Olena Kosenko. "Patient Postoperative Care Data Visualization." International Journal of Computer Applications 156, no. 7 (December 15, 2016): 27–33. http://dx.doi.org/10.5120/ijca2016912469.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Stonbraker, Samantha, Tiffany Porras, and Rebecca Schnall. "Patient preferences for visualization of longitudinal patient-reported outcomes data." Journal of the American Medical Informatics Association 27, no. 2 (October 31, 2019): 212–24. http://dx.doi.org/10.1093/jamia/ocz189.

Full text
Abstract:
Abstract Objective The study sought to design symptom reports of longitudinal patient-reported outcomes data that are understandable and meaningful to end users. Materials and Methods We completed a 2-phase iterative design and evaluation process. In phase I, we developed symptom reports and refined them according to expert input. End users then completed a survey containing demographics, a measure of health literacy, and items to assess visualization preferences and comprehension of reports. We then collected participants’ perspectives on reports through semistructured interviews and modified them accordingly. In phase II, refined reports were evaluated in a survey that included demographics, validated measures of health and graph literacy, and items to assess preferences and comprehension of reports. Surveys were administered using a think-aloud protocol. Results Fifty-five English- and Spanish-speaking end users, 89.1% of whom had limited health literacy, participated. In phase I, experts recommended improvements and 20 end users evaluated reports. From the feedback received, we added emojis, changed date and font formats, and simplified the y-axis scale of reports. In phase II, 35 end users evaluated refined designs, of whom 94.3% preferred reports with emojis, the favorite being a bar graph combined with emojis, which also promoted comprehension. In both phases, participants literally interpreted reports and provided suggestions for future visualizations. Conclusions A bar graph combined with emojis was participants’ preferred format and the one that promoted comprehension. Target end users must be included in visualization design to identify literal interpretations of images and ensure final products are meaningful.
APA, Harvard, Vancouver, ISO, and other styles
3

Zhu, Zhecheng, Bee Hoon Heng, and Kiok Liang Teow. "Interactive Data Visualization to Understand Data Better." International Journal of Knowledge Discovery in Bioinformatics 4, no. 2 (July 2014): 1–10. http://dx.doi.org/10.4018/ijkdb.2014070101.

Full text
Abstract:
This paper focuses on interactive data visualization techniques and their applications in healthcare systems. Interactive data visualization is a collection of techniques translating data from its numeric format to graphic presentation dynamically for easy understanding and visual impact. Compared to conventional static data visualization techniques, interactive data visualization techniques allow users to self-explore the entire data set by instant slice and dice, quick switching among multiple data sources. Adjustable granularity of interactive data visualization allows for both detailed micro information and aggregated macro information displayed in a single chart. Animated transition adds extra visual impact that describes how system transits from one state to another. When applied to healthcare system, interactive visualization techniques are useful in areas such as information integration, flow or trajectory presentation and location related visualization, etc. In this paper, three case studies are shared to illustrate how interactive data visualization techniques are applied to various aspects of healthcare systems. The first case study shows a pathway visualization representing longitudinal disease progression of a patient cohort. The second case study shows a dashboard profiling different patient cohorts from multiple perspectives. The third case study shows an interactive map illustrating patient geographical distribution at adjustable granularity. All three case studies illustrate that interactive data visualization techniques help quick information access, fast knowledge sharing and better decision making in healthcare system.
APA, Harvard, Vancouver, ISO, and other styles
4

Grossman, Lisa, Steven Feiner, Elliot Mitchell, and Ruth Masterson Creber. "Leveraging Patient-Reported Outcomes Using Data Visualization." Applied Clinical Informatics 09, no. 03 (July 2018): 565–75. http://dx.doi.org/10.1055/s-0038-1667041.

Full text
Abstract:
Background Health care organizations increasingly use patient-reported outcomes (PROs) to capture patients' health status. Although federal policy mandates PRO collection, the challenge remains to better engage patients in PRO surveys, and ensure patients comprehend the surveys and their results. Objective This article identifies the design requirements for an interface that assists patients with PRO survey completion and interpretation, and then builds and evaluates the interface. Methods We employed a user-centered design process that consisted of three stages. First, we conducted qualitative interviews and surveys with 13 patients and 11 health care providers to understand their perceptions of the value and challenges associated with the use of PRO measures. Second, we used the results to identify design requirements for an interface that collects PROs, and designed the interface. Third, we conducted usability testing with 12 additional patients in a hospital setting. Results In interviews, patients and providers reported that PRO surveys help patients to reflect on their symptoms, potentially identifying new opportunities for improved care. However, 6 out of 13 patients reported significant difficultly in understanding PRO survey questions, answer choices and results. Therefore, we identified aiding comprehension as a key design requirement, and incorporated visualizations into our interface design to aid comprehension. In usability testing, patients found the interface highly usable. Conclusion Future interfaces designed to collect PROs may benefit from employing strategies such as visualization to aid comprehension and engage patients with surveys.
APA, Harvard, Vancouver, ISO, and other styles
5

Plaisant, Catherine. "Visualization of temporal patterns in patient record data." Fundamental & Clinical Pharmacology 32, no. 1 (October 17, 2017): 85–87. http://dx.doi.org/10.1111/fcp.12322.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Turchioe, Meghan Reading, Annie Myers, Samuel Isaac, Dawon Baik, Lisa V. Grossman, Jessica S. Ancker, and Ruth Masterson Creber. "A Systematic Review of Patient-Facing Visualizations of Personal Health Data." Applied Clinical Informatics 10, no. 04 (August 2019): 751–70. http://dx.doi.org/10.1055/s-0039-1697592.

Full text
Abstract:
Abstract Objectives As personal health data are being returned to patients with increasing frequency and volume, visualizations are garnering excitement for their potential to facilitate patient interpretation. Evaluating these visualizations is important to ensure that patients are able to understand and, when appropriate, act upon health data in a safe and effective manner. The objective of this systematic review was to review and evaluate the state of the science of patient-facing visualizations of personal health data. Methods We searched five scholarly databases (PubMed, Embase, Scopus, ACM Digital Library [Association for Computing Machinery Digital Library], and IEEE Computational Index [Institute of Electrical and Electronics Engineers Computational Index]) through December 1, 2018 for relevant articles. We included English-language articles that developed or tested one or more patient-facing visualizations for personal health data. Three reviewers independently assessed quality of included articles using the Mixed methods Appraisal Tool. Characteristics of included articles and visualizations were extracted and synthesized. Results In 39 articles included in the review, there was heterogeneity in the sample sizes and methods for evaluation but not sample demographics. Few articles measured health literacy, numeracy, or graph literacy. Line graphs were the most common visualization, especially for longitudinal data, but number lines were used more frequently in included articles over past 5 years. Article findings suggested more patients understand the number lines and bar graphs compared with line graphs, and that color is effective at communicating risk, improving comprehension, and increasing confidence in interpretation. Conclusion In this review, we summarize types and components of patient-facing visualizations and methodologies for development and evaluation in the reviewed articles. We also identify recommendations for future work relating to collecting and reporting data, examining clinically actionable boundaries for diverse data types, and leveraging data science. This work will be critically important as patient access of their personal health data through portals and mobile devices continues to rise.
APA, Harvard, Vancouver, ISO, and other styles
7

Ha, Hyoji, Jihye Lee, Hyunwoo Han, Sungyun Bae, Sangjoon Son, Changhyung Hong, Hyunjung Shin, and Kyungwon Lee. "Dementia Patient Segmentation Using EMR Data Visualization: A Design Study." International Journal of Environmental Research and Public Health 16, no. 18 (September 16, 2019): 3438. http://dx.doi.org/10.3390/ijerph16183438.

Full text
Abstract:
(1) Background: The Electronic Medical Record system, which is a digital medical record management architecture, is critical for reliable medical research. It facilitates the investigation of disease patterns and efficient treatment via collaboration with data scientists. (2) Methods: In this study, we present multidimensional visual tools for the analysis of multidimensional datasets via a combination of 3-dimensional radial coordinate visualization (3D RadVis) and many-objective optimization (e.g., Parallel Coordinates). Also, we propose a user-driven research design to facilitate visualization. We followed a design process to (1) understand the demands of domain experts, (2) define the problems based on relevant works, (3) design visualization, (4) implement visualization, and (5) enable qualitative evaluation by domain experts. (3) Results: This study provides clinical insight into dementia based on EMR data via visual analysis. Results of a case study based on questionnaires surveying daily living activities indicated that daily behaviors influenced the progression of dementia. (4) Conclusions: This study provides a visual analytical tool to support cluster segmentation. Using this tool, we segmented dementia patients into clusters and interpreted the behavioral patterns of each group. This study contributes to biomedical data interpretation based on a visual approach.
APA, Harvard, Vancouver, ISO, and other styles
8

Warner, Jeremy L., Joshua C. Denny, David A. Kreda, and Gil Alterovitz. "Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization." Journal of the American Medical Informatics Association 22, no. 2 (October 21, 2014): 324–29. http://dx.doi.org/10.1136/amiajnl-2014-002965.

Full text
Abstract:
Abstract Our aim was to uncover unrecognized phenomic relationships using force-based network visualization methods, based on observed electronic medical record data. A primary phenotype was defined from actual patient profiles in the Multiparameter Intelligent Monitoring in Intensive Care II database. Network visualizations depicting primary relationships were compared to those incorporating secondary adjacencies. Interactivity was enabled through a phenotype visualization software concept: the Phenomics Advisor. Subendocardial infarction with cardiac arrest was demonstrated as a sample phenotype; there were 332 primarily adjacent diagnoses, with 5423 relationships. Primary network visualization suggested a treatment-related complication phenotype and several rare diagnoses; re-clustering by secondary relationships revealed an emergent cluster of smokers with the metabolic syndrome. Network visualization reveals phenotypic patterns that may have remained occult in pairwise correlation analysis. Visualization of complex data, potentially offered as point-of-care tools on mobile devices, may allow clinicians and researchers to quickly generate hypotheses and gain deeper understanding of patient subpopulations.
APA, Harvard, Vancouver, ISO, and other styles
9

Shaffer, Victoria A., Pete Wegier, K. D. Valentine, Jeffery L. Belden, Shannon M. Canfield, Mihail Popescu, Linsey M. Steege, Akshay Jain, and Richelle J. Koopman. "Use of Enhanced Data Visualization to Improve Patient Judgments about Hypertension Control." Medical Decision Making 40, no. 6 (July 22, 2020): 785–96. http://dx.doi.org/10.1177/0272989x20940999.

Full text
Abstract:
Objective. Uncontrolled hypertension is driven by clinical uncertainty around blood pressure data. This research sought to determine whether decision support—in the form of enhanced data visualization—could improve judgments about hypertension control. Methods. Participants (Internet sample of patients with hypertension) in 3 studies ( N = 209) viewed graphs depicting blood pressure data for fictitious patients. For each graph, participants rated hypertension control, need for medication change, and perceived risk of heart attack and stroke. In study 3, participants also recalled the percentage of blood pressure measurements outside of the goal range. The graphs varied by systolic blood pressure mean and standard deviation, change in blood pressure values over time, and data visualization type. Results. In all 3 studies, data visualization type significantly affected judgments of hypertension control. In studies 1 and 2, perceived hypertension control was lower while perceived need for medication change and subjective perceptions of stroke and heart attack risk were higher for raw data displays compared with enhanced visualization that employed a smoothing function generated by the locally weighted smoothing algorithm. In general, perceptions of hypertension control were more closely aligned with clinical guidelines when data visualization included a smoothing function. However, conclusions were mixed when comparing tabular presentations of data to graphical presentations of data in study 3. Hypertension was perceived to be less well controlled when data were presented in a graph rather than a table, but recall was more accurate. Conclusion. Enhancing data visualization with the use of a smoothing function to minimize the variability present in raw blood pressure data significantly improved judgments about hypertension control. More research is needed to determine the contexts in which graphs are superior to data tables.
APA, Harvard, Vancouver, ISO, and other styles
10

Macedo, Márcio C. F., and Antônio L. Apolinário. "Focus plus context visualization based on volume clipping for markerless on-patient medical data visualization." Computers & Graphics 53 (December 2015): 196–209. http://dx.doi.org/10.1016/j.cag.2015.09.007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Visualization of patient data"

1

Yaddanapudi, Suryanarayana. "High-risk Patient Identification: Patient Similarity, Missing Data Analysis, and Pattern Visualization." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731557.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ayyagari, Pavani. "A visualization framework for patient data and its environment." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4256.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Macedo, Marcio Cerqueira de Farias. "A Markerless Augmented Reality Environment for On-Patient Medical Data Visualization." Instituto de Matemática. Departamento de ciência da Computação, 2014. http://repositorio.ufba.br/ri/handle/ri/19283.

Full text
Abstract:
Submitted by Santos Davilene (davilenes@ufba.br) on 2016-05-25T15:56:18Z No. of bitstreams: 1 MasterDissertation2013-2014.pdf: 12146553 bytes, checksum: 4e7f58dc645b0bebb4885cdbc0adf8f5 (MD5)
Made available in DSpace on 2016-05-25T15:56:18Z (GMT). No. of bitstreams: 1 MasterDissertation2013-2014.pdf: 12146553 bytes, checksum: 4e7f58dc645b0bebb4885cdbc0adf8f5 (MD5)
Visualiza c~ao de dados m edicos no paciente e desej avel em muitas situa cões, como planejamento cir urgico e treinamento m edico. Atualmente, esta visualiza c~ao e possí vel com o uso da realidade aumentada, uma tecnologia que habilita a visualiza c~ao da anatomia virtual do paciente na localiza c~ao da anatomia real em um display convencional. Nesta disserta c~ao, e apresentado um ambiente de realidade aumentada sem marcadores para visualiza c~ao de dados m edicos no paciente com suporte ao fotorrealismo, a m etodos so sticados para composi ção de dados reais e virtuais e a caracter ísticas adicionais como oclusão. A partir de uma avalia ção do ambiente proposto, os resultados obtidos mostram que o ambiente executa em tempo real e provê boa qualidade visual da cena aumentada.
APA, Harvard, Vancouver, ISO, and other styles
4

Eurenius, Kerstin. "Från information till interaktion : En studie om hur en visualiserad digital patientjournal kan påverka patientkonsultationen." Thesis, Umeå universitet, Institutionen för informatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105021.

Full text
Abstract:
Swedish healthcare are in need of radical changes to meet the requirements from both the government and the patients to create organisational working methods that better support the patients through their healthcare processes. Digitalization of patient data has been going on for decades in order to increase participation and understanding among patients in their care processes. However, availability of information does not ensure understanding. Therefore, resources should be devoted to create conditions to enable participation. The purpose of this study is to explore how visualization of patient data in the patient’s journal can affect the consultation in the encounter between the doctor and the patient. Qualitative interviews were conducted with both patients and doctors. The study suggests that a visualized digital journal could represent a educational tool and contribute to a greater understanding between the patient and the doctor, required that it’s features correspond rather comlex visualization. According to this study, greater understanding in the patient would reasonably generate more and different questions than today, which would not necessarily improve the efficiency in the konsultation. According to the study, greater understanding in the patient would reasonably generate more and different questions than today, which would not necessarily improve the efficiency in the konsultation. Furthermore, a visualized patient's journal may influence the salutogenic effect in the care process why demands regarding the way the resource should be used has to be established.
APA, Harvard, Vancouver, ISO, and other styles
5

Jaffré, Marc-Olivier. "Connaissance et optimisation de la prise en charge des patients : la science des réseaux appliquée aux parcours de soins." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2445/document.

Full text
Abstract:
En France, la nécessaire rationalisation des moyens alloués aux hôpitaux a abouti à une concentration des ressources et une augmentation de la complexité des plateaux techniques. Leur pilotage et leur répartition territoriale s’avèrent d’autant plus difficile, soulevant ainsi la problématique de l’optimisation des systèmes de soins. L’utilisation des données massives produites pas ces systèmes pourrait constituer une nouvelle approche en matière d’analyse et d’aide à la décision. Méthode : A partir d’une réflexion sur la notion de performance, différentes approches d’optimisation préexistantes sont d’abord mis en évidence. Le bloc opératoire a été choisi en tant que terrain expérimental. Suit une analyse sur une fusion d’établissements en tant qu’exemple d’une approche d’optimisation par massification.Ces deux étapes permettent de défendre une approche alternative qui associe l’usage de données massives, la science des réseaux et la visualisation des données sous forme cartographique. Deux sets de séjours en chirurgie orthopédique sur la région ex-Midi-Pyrénées sont utilisés. L’enchainement des séjours de soins est considéré en tant en réseau de données. L’ensemble est projeté dans un environnement visuel développé en JavaScript et permettant une fouille dynamique du graphe. Résultats : La possibilité de visualiser des parcours de santé sous forme de graphes NŒUDS-LIENS est démontrée. Les graphes apportent une perception supplémentaire sur les enchainements de séjours et les redondances des parcours. Le caractère dynamique des graphes permet en outre leur fouille. L’approche visuelle subjective est complétée par une série de mesures objectives issues de la science des réseaux. Les plateaux techniques de soins produisent des données massives utiles à leur analyse et potentiellement à leur optimisation. La visualisation graphique de ces données associées à un cadre d’analyse tel que la science des réseaux donne des premiers indicateurs positifs avec notamment la mise en évidence de motifs redondants. La poursuite d’expérimentations à plus large échelle est requise pour valider, renforcer et diffuser ces observations et cette méthode
In France, the streamlining of means assigned hospitals result in concentration of resources ana growing complexily of heallhcare facilities. Piloting and planning (them turn out to be all the more difficult, thus leading of optimjzation problems. The use of massive data produced by these systems in association with network science an alternative approach for analyzing and improving decision-making support jn healthcare. Method : Various preexisting optimisation are first highblighted based on observations in operating theaters chosen as experirnentai sites. An analysis of merger of two hospitlas also follows as an example of an optimization method by massification. These two steps make it possible to defend an alternative approach that combines the use of big data science of networks data visualization techniques. Two sets of patient data in orthopedic surgery in the ex-Midi-Pyrénées region in France are used to create a network of all sequences of care. The whole is displayed in a visual environment developed in JavaScript allowing a dynamic mining of the graph. Results: Visualizing healthcare sequences in the form of nodes and links graphs has been sel out. The graphs provide an additional perception of' the redundancies of he healthcare pathways. The dynamic character of the graphs also allows their direct rnining. The initial visual approach is supplernented by a series of objcctive measures from the science of networks. Conciusion: Healthcare facilities produce massive data valuable for their analysis and optimization. Data visualizalion together with a framework such as network science gives prelimiaary encouraging indicators uncovering redondant healthcare pathway patterns. Furthev experimentations with various and larger sets of data is required to validate and strengthen these observations and methods
APA, Harvard, Vancouver, ISO, and other styles
6

Liu, Jiayi. "Visualization of Weather Data : Temperature trend visualization." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-20969.

Full text
Abstract:
Weather data are huge. Traditional visualization techniques are limited to show temperature trends. Pixel-based approaches could be used to visualize the huge amount of weather data and in process show the temperature trends. A prototype using this approach is built to make temperature data more understandable in changing trends. It is implemented using a 2D representation and many popular interaction techniques. It is a lightweight and reusable tool to visualize temperatures.
APA, Harvard, Vancouver, ISO, and other styles
7

Virinchi, Billa. "Data Visualization of Telenor mobility data." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13951.

Full text
Abstract:
Nowadays with the rapid development of cities, understanding the human mobility patterns of subscribers is crucial for urban planning and for network infrastructure deployment. Today mobile phones are electronic devices used for analyzing the mobility patterns of the subscribers in the network, because humans in their daily activities they carry mobile phones for communication purpose. For effective utilization of network infrastructure (NI) there is a need to study on mobility patterns of subscribers.   The aim of the thesis is to simulate the geospatial Telenor mobility data (i.e. three different subscriber categorized segments) and provide a visual support in google maps using google maps API, which helps in decision making to the telecommunication operators for effective utilization of network infrastructure (NI).    In this thesis there are two major objectives. Firstly, categorize the given geospatial telenor mobility data using subscriber mobility algorithm. Secondly, providing a visual support for the obtained categorized geospatial telenor mobility data in google maps using a geovisualization simulation tool.    The algorithm used to categorize the given geospatial telenor mobility data is subscriber mobility algorithm. Where this subscriber mobility algorithm categorizes the subscribers into three different segments (i.e. infrastructure stressing, medium, friendly). For validation and confirmation purpose of subscriber mobility algorithm a tetris optimization model is used. To give visual support for each categorized segments a simulation tool is developed and it displays the visualization results in google maps using Google Maps API.   The result of this thesis are presented to the above formulated objectives. By using subscriber mobility algorithm and tetris optimization model to a geospatial data set of 33,045 subscribers only 1400 subscribers are found as infrastructure stressing subscribers. To look informative, a small region (i.e. boras region) is taken to visualize the subscribers from each of the categorized segments (i.e. infrastructure stressing, medium, friendly).    The conclusion of the thesis is that the functionality thus developed contributes to knowledge discovery from geospatial data and provides visual support for decision making to telecommunication operators. Nowadays with the rapid development of cities, understanding the human mobility patterns of subscribers is crucial for urban planning and for network infrastructure deployment. Today mobile phones are electronic devices used for analyzing the mobility patterns of the subscribers in the network, because humans in their daily activities they carry mobile phones for communication purpose. For effective utilization of network infrastructure (NI) there is a need to study on mobility patterns of subscribers.   The aim of the thesis is to simulate the geospatial Telenor mobility data (i.e. three different subscriber categorized segments) and provide a visual support in google maps using google maps API, which helps in decision making to the telecommunication operators for effective utilization of network infrastructure (NI).    In this thesis there are two major objectives. Firstly, categorize the given geospatial telenor mobility data using subscriber mobility algorithm. Secondly, providing a visual support for the obtained categorized geospatial telenor mobility data in google maps using a geovisualization simulation tool.    The algorithm used to categorize the given geospatial telenor mobility data is subscriber mobility algorithm. Where this subscriber mobility algorithm categorizes the subscribers into three different segments (i.e. infrastructure stressing, medium, friendly). For validation and confirmation purpose of subscriber mobility algorithm a tetris optimization model is used. To give visual support for each categorized segments a simulation tool is developed and it displays the visualization results in google maps using Google Maps API.   The result of this thesis are presented to the above formulated objectives. By using subscriber mobility algorithm and tetris optimization model to a geospatial data set of 33,045 subscribers only 1400 subscribers are found as infrastructure stressing subscribers. To look informative, a small region (i.e. boras region) is taken to visualize the subscribers from each of the categorized segments (i.e. infrastructure stressing, medium, friendly).    The conclusion of the thesis is that the functionality thus developed contributes to knowledge discovery from geospatial data and provides visual support for decision making to telecommunication operators.
APA, Harvard, Vancouver, ISO, and other styles
8

Yi, Xin. "Data visualization in conceptual design: developing a prototype for complex data visualization." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15192.

Full text
Abstract:
In today's highly competitive industries, engineers are driven to not only design a better product to fulfill users' needs but also demanded to develop a product in a short time to occupy the market. With the development of data collection and visualization technology, the application of data visualization into product development to enhance the ability of better product design is a significant trend.  Data visualization becomes more and more important since it could illustrate the valuable information, such as tacit needs and patterns which hidden from data, in a communicated way to help engineers get more inspiration for the conceptual design.   It is not hard to collect data; however, the challenge is to visualize the valuable information from a large number of data concisely and intuitively. In recent years, there are some visualization techniques available for product design, while, most of them are implemented in the later stage of product development, few methods are applicable for conceptual design. Therefore, this thesis is carried out to explore appropriate visualization techniques to provide support for conceptual design.   The aim of this thesis is, in an engineering environment, to investigate ways to visualize complex data legibly and intuitively to enhance engineers’ ability for conceptual design from better understanding the current machine. In order to achieve the objective, a conceptual design case of the improvement of wheel loader fuel consumption is applied, which consisted of plenty of data sets within various parameters, to explore how to reveal the hidden information of complex data for engineers.   As the result of this thesis, a prototype contains a series of visualization techniques is proposed to demonstrate data information from a wheel loader under several visualization situations. The final prototype has the functions of visualizing different operations separately; visualizing the overall fuel consumption in one operation; cluster's patterns visualization; visualizing the impact of one variable on the whole value.
APA, Harvard, Vancouver, ISO, and other styles
9

Tam, Chi Man. "Visualization of meteorological data." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1807116.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

García-Osorio, César. "Data mining and visualization." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Visualization of patient data"

1

Post, Frits H., Gregory M. Nielson, and Georges-Pierre Bonneau, eds. Data Visualization. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Anouncia, S. Margret, Hardik A. Gohel, and Subbiah Vairamuthu, eds. Data Visualization. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2282-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Grant, Robert. Data Visualization. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315201351.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Lange, Jan de. Data visualization. Scotts Valley, CA: Wings for Learning, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ebert, David S., Jean M. Favre, and Ronald Peikert, eds. Data Visualization 2001. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6215-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Dzemyda, Gintautas, Olga Kurasova, and Julius Žilinskas. Multidimensional Data Visualization. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-0236-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

de Leeuw, Willem Cornelis, and Robert van Liere, eds. Data Visualization 2000. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-6783-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gröller, Eduard, Helwig Löffelmann, and William Ribarsky, eds. Data Visualization ’99. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6803-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Security data visualization. San Francisco: No Starch Press, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pajankar, Ashwin. Practical Python Data Visualization. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6455-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Visualization of patient data"

1

Austin, Matthew, and Alicia Zhang. "Data Visualization at the Individual Patient Level." In A Picture is Worth a Thousand Tables, 273–93. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-5329-1_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Toyoda, Shuichi, and Noboru Niki. "Information Visualization for Chronic Patient’s Data." In Communications in Computer and Information Science, 81–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40140-4_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Minghui, Zhisheng Huang, and Jinguang Gu. "Design and Implementation of Visualization Tools for Advanced Patient Data Generator." In Web Information Systems Engineering – WISE 2013 Workshops, 401–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54370-8_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pohl, Margit, Sylvia Wiltner, Alexander Rind, Wolfgang Aigner, Silvia Miksch, Thomas Turic, and Felix Drexler. "Patient Development at a Glance: An Evaluation of a Medical Data Visualization." In Human-Computer Interaction – INTERACT 2011, 292–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23768-3_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cleophas, Ton J., and Aeilko H. Zwinderman. "Data Mining for Visualization of Health Processes (150 Patients)." In Machine Learning in Medicine – A Complete Overview, 41–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33970-8_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Cleophas, Ton J., and Aeilko H. Zwinderman. "Data Mining for Visualization of Health Processes (150 Patients)." In Machine Learning in Medicine - a Complete Overview, 35–46. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15195-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gonçalves, Patrícia C. T., Ana S. Moura, M. Natália D. S. Cordeiro, and Pedro Campos. "Mr. Silva and Patient Zero: A Medical Social Network and Data Visualization Information System." In Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 111–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01045-4_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Schwaderer, E., F. Dammann, M. Heuschmid, J. Hoffmann, and C. D. Claussen. "Three dimensional colour coded visualization of differences between CT patient data and resulting stereolithographical models." In CARS 2002 Computer Assisted Radiology and Surgery, 1057. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56168-9_213.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Patwardhan, Viraj, Neil Gomes, and Tiffany D’souza. "Deliver Insights, Not Information: The Power of Data Visualization to Improve Care Delivery and Patient Experience." In Human Interaction, Emerging Technologies and Future Applications III, 422–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55307-4_64.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cleophas, Ton J., and Aeilko H. Zwinderman. "Data Mining for Visualization of Health Processes (150 Patients with Pneumonia)." In Machine Learning in Medicine - Cookbook Three, 3–14. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12163-5_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Visualization of patient data"

1

Domova, Veronika, and Shiva Sander-Tavallaey. "Visualization for Quality Healthcare: Patient Flow Exploration." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006351.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kozlovszky, Miklos, Khulan Batbayar, Zoltan Garaguly, and Krisztian Karozkai. "Multimodal biophysical data visualization for patient monitoring." In 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2016. http://dx.doi.org/10.1109/saci.2016.7507411.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Vong, Keovessna, Suwanna Rasmequan, Krisana Chinnasarn, and Antony Harfield. "Empirical modelling for dynamic visualization of ICU patient data streams." In 2015 8th Biomedical Engineering International Conference (BMEiCON). IEEE, 2015. http://dx.doi.org/10.1109/bmeicon.2015.7399506.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Roederer, Alexander, Jacqueline Soegaard, Insup Lee, Jonathan Wanderer, and Soojin Park. "Wandering Data: A Scalable, Durable System for Effective Visualization of Patient Health Data." In 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2014. http://dx.doi.org/10.1109/cbms.2014.131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chittaro, Luca. "Visualization of patient data at different temporal granularities on mobile devices." In the working conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1133265.1133364.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Foo, Jung Leng, Thom Lobe, and Eliot Winer. "Isis: Patient Data Visualization and Surgical Planning in an Interactive Virtual Environment." In ASME-AFM 2009 World Conference on Innovative Virtual Reality. ASMEDC, 2009. http://dx.doi.org/10.1115/winvr2009-730.

Full text
Abstract:
As medical scanning technology continues to accommodate the need for higher quality medical imaging, there is a continuing need for additional research in efficient ways of extracting crucial information from these vast amounts of data. The visualization software, Isis, has been developed to view and manipulate digital medical images in an immersive environment for surgical planning. Isis is designed to display any DICOM/PACS compatible three-dimensional image data for visualization and interaction in an immersive environment. Pseudo-coloring can be applied in real time, with multiple interactive clipping planes to slice into the volume for an interior view, and the windowing feature controls the tissue density ranges to display. Features such as virtual trocars placement, tumor inspection, and an endoscopic view provides surgeons with essential tools for surgical planning. A wireless gamepad controller and an intuitive menu interface allow the user to interact with the software. By wearing a pair of stereo glasses, the surgeon is immersed within the model, providing a sense of realism as if the surgeon is “inside” the patient.
APA, Harvard, Vancouver, ISO, and other styles
7

Hirano, Shoji, and Shusaku Tsumoto. "Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR." In 2014 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, 2014. http://dx.doi.org/10.1109/icdmw.2014.185.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gschwandtner, Theresia, Wolfgang Aigner, Katharina Kaiser, Silvia Miksch, and Andreas Seyfang. "Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data." In Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction. BCS Learning & Development, 2011. http://dx.doi.org/10.14236/ewic/hci2011.73.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bennett, K. P., C. Ozcaglar, J. Ranganathan, S. Raghavan, J. Katz, D. Croft, B. Yener, and A. Shabbeer. "Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112364.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Macedo, Marcio C. F., Antonio Lopes Apolinario, Antonio C. S. Souza, and Gilson A. Giraldi. "A Semi-automatic Markerless Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization." In 2014 XVI Symposium on Virtual and Augmented Reality (SVR). IEEE, 2014. http://dx.doi.org/10.1109/svr.2014.29.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Visualization of patient data"

1

Hollis, Andrew Nathan. Data Visualization for Threat Analytics. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1212630.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Miller, M. Pixar data visualization tools overview. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/7083971.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Miller, M. Pixar data visualization tools overview. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6860368.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mack, Christina, Zhaohui Su, and Daniel Weistreich. Managing Missing Data in Patient Registries. Agency for Healthcare Research and Quality (AHRQ), February 2018. http://dx.doi.org/10.23970/ahrqregistriesmissingdata.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Perez, David, and Andrew Hendrian. Advanced Patient Data Replication and Recovery. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada564156.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kimbler, Nate. Data Visualization: Conversion of Data to Animation Files. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada426972.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Shen, Han-Wei. Scalable Data Management, Analysis, and Visualization. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1406107.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Astrom, Richard L. Data Analysis Tools for Visualization Study. Fort Belvoir, VA: Defense Technical Information Center, July 2015. http://dx.doi.org/10.21236/ada625734.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Haynes, Kevin, Abiy Agiro, Xiaoxue Chen, Judith Stephenson, Biruk Eshete, Rebecca Sutphen, Elizabeth Bourquardez Clark, et al. Developing Methods to Link Patient Records across Data Sets that Preserve Patient Privacy. Patient-Centered Outcomes Research Institute (PCORI), June 2020. http://dx.doi.org/10.25302/06.2020.me.150328785.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Snyder, Claire, Michael Brundage, Katherine Smith, Elissa Bantug, Elliott Tolbert, Emily Little, Amanda Blackford, et al. Presenting Patient-Reported Outcomes Data to Improve Patient and Clinician Understanding and Use. Patient-Centered Outcomes Research Institute (PCORI), December 2018. http://dx.doi.org/10.25302/12.2018.ce.323.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Visualization of patient data' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography