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Relevant bibliographies by topics / Informatics knowledge

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Academic literature on the topic 'Informatics knowledge'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Informatics knowledge"

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Bullard, M. J., S. D. Emond, T. A. D. Graham, K. Ho, and B. R. Holroyd. "Informatics and Knowledge Translation." Academic Emergency Medicine 14, no. 11 (2007): 996–1002. http://dx.doi.org/10.1197/j.aem.2007.06.032.

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Meyer, Eric T., Kalpana Shankar, Matthew Willis, Sarika Sharma, and Steve Sawyer. "The social informatics of knowledge." Journal of the Association for Information Science and Technology 70, no. 4 (2019): 307–12. http://dx.doi.org/10.1002/asi.24205.

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Dalrymple, Prudence W. "Data, information, knowledge: The emerging field of health informatics." Bulletin of the American Society for Information Science and Technology 37, no. 5 (2011): 41–44. http://dx.doi.org/10.1002/bult.2011.1720370512.

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Humphreys, Betsy L., and Donald A. B. Lindberg. "Preface - Access to Knowledge Revisited." Yearbook of Medical Informatics 25, S 01 (2016): S18—S20. http://dx.doi.org/10.15265/iys-2016-s026.

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Summary Objective: To review and update the Preface to the 1998 Yearbook of Medical Informatics, which had as its Special Topic “Health Informatics and the Internet”. Method: Assessment of the accuracy of predictions made in 1998 and consideration of key developments in informatics since that time. Results: Predictions made in 1998 were generally accurate regarding reduced dependence on keyboards, expansion of multimedia, medical data privacy policy development, impact of molecular biology on knowledge and treatment of neoplasms, and use of imaging and informatics to advance understanding of brain structure and function. Key developments since 1998 include the huge increase in publicly available electronic information; acknowledgement by leaders in government and science of the importance of biomedical informatics to societal goals for health, health care, and scientific discovery; the influence of the public in promoting clinical research transparency and free access to government-funded research results; the long-awaited arrival of electronic health records; and the “Cloud” as a 21st century reformulation of contracting out the computer center. Conclusions: There are many challenging and important problems that deserve the attention of the informatics community. Informatics researchers will be best served by embracing a very broad definition of medical informatics and by promoting public understanding of the field.

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Ronquillo, Charlene, Leanne M. Currie, and Paddy Rodney. "The Evolution of Data-Information-Knowledge-Wisdom in Nursing Informatics." Advances in Nursing Science 39, no. 1 (2016): E1—E18. http://dx.doi.org/10.1097/ans.0000000000000107.

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Lewis, Alex. "Health informatics: information and communication." Advances in Psychiatric Treatment 8, no. 3 (2002): 165–71. http://dx.doi.org/10.1192/apt.8.3.165.

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In health care, the word ‘communication’ covers a wide range of interactions, including interpersonal communication, communication technology, medical education, health policy and mass communication. It takes many forms, from a brief informal talk between colleagues to formalised written documents between professionals. The essence of this verbal and written communication is the sharing of information. To make our information exchange more useful and to give it more meaning, the information communicated needs an appropriate framework. For example, the meaning of the diagnosis ‘schizophrenia’ is greatly enhanced by knowledge of the individual patient within the context (the framework) of his or her past history and family background.

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van Bemmel, Jan H. "Knowledge for Medicine and Health Care." Methods of Information in Medicine 44, no. 04 (2005): 596–600. http://dx.doi.org/10.1055/s-0038-1634012.

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SummaryDr. Donald A. B. Lindberg, Director of the U.S. National Library of Medicine, received an honorary doctorate from UMIT, the University for Health Sciences, Medical Informatics and Technology in Innsbruck, Tyrol. The celebration took place on September 28, 2004 at an academic event during a conference of the Austrian, German, and Swiss Societies of Medical Informatics, GMDS2004. Dr. Lindberg has been a pioneer in the field of computers in health care from the early 1960s onwards. In 1984 he became the Director of the National Library of Medicine in Bethesda, the world’s largest fully computerized biomedical library. Dr. Lind-berg has been involved in the early activities of the International Medical Informatics Association (IMIA), among others being the chair of the Organizing Committee for MEDINFO 86 in Washington D.C. He was elected the first president of the American Medical Informatics Association (AMIA), and served as an editor of Methods of Information in Medicine.

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Matney, Susan, Philip J. Brewster, Katherine A. Sward, Kristin G. Cloyes, and Nancy Staggers. "Philosophical Approaches to the Nursing Informatics Data-Information-Knowledge-Wisdom Framework." Advances in Nursing Science 34, no. 1 (2011): 6–18. http://dx.doi.org/10.1097/ans.0b013e3182071813.

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Zhu, Yongjun, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, and Fei Wang. "Knowledge-driven drug repurposing using a comprehensive drug knowledge graph." Health Informatics Journal 26, no. 4 (2020): 2737–50. http://dx.doi.org/10.1177/1460458220937101.

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Due to the huge costs associated with new drug discovery and development, drug repurposing has become an important complement to the traditional de novo approach. With the increasing number of public databases and the rapid development of analytical methodologies, computational approaches have gained great momentum in the field of drug repurposing. In this study, we introduce an approach to knowledge-driven drug repurposing based on a comprehensive drug knowledge graph. We design and develop a drug knowledge graph by systematically integrating multiple drug knowledge bases. We describe path- and embedding-based data representation methods of transforming information in the drug knowledge graph into valuable inputs to allow machine learning models to predict drug repurposing candidates. The evaluation demonstrates that the knowledge-driven approach can produce high predictive results for known diabetes mellitus treatments by only using treatment information on other diseases. In addition, this approach supports exploratory investigation through the review of meta paths that connect drugs with diseases. This knowledge-driven approach is an effective drug repurposing strategy supporting large-scale prediction and the investigation of case studies.

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Hume, Margee, Jeffrey Soar, S. Jonathan Whitty, Craig Hume, Faeka El Sayed, and Paul Johnston. "Aged Care Informatics." International Journal of Enterprise Information Systems 10, no. 2 (2014): 1–20. http://dx.doi.org/10.4018/ijeis.2014040101.

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Aged care is projected to be the fastest-growing sector within health and community care industries Strengthening the care-giving workforce, compliance, delivery and technology is not only vital to our social infrastructure and improving the quality of care, but also has the potential to drive long-term economic growth and contribute to the GDP. This paper examines the role of knowledge management (KM) in aged care organizations to assist in the delivery of aged care. With limited research related to KM in aged care, this paper advances knowledge and offers a unique view of KM from the perspective of 22 aged care stakeholders. Using in-depth interviewing, this paper explores the definition of knowledge in aged care facilities, the importance of knowledge planning, capture and diffusion for accreditation purposes and offers recommendations for the development of sustainable knowledge management practice and development. The paper culminates in an offering a checklist for aged care facilities and advances the discourse in this sector.

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Dissertations / Theses on the topic "Informatics knowledge"

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Andersson, Kent. "Knowledge Technology Applications for Knowledge Management." Doctoral thesis, Uppsala : Institutionen för informationsvetenskap, Univ. [distributör], 2000. http://w3.ub.uu.se/fulltext/91-506-1437-1.pdf.

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Dikow, Peter. "Discussing the supporting role of Information Technology for human and organizational knowledge sharing." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-491.

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<p>The history of technology has shown that with the advance of science almost any manual human task could also be done by a machine. This story of success gives hope for the subject area of artificial intelligence and Cognitive simulation. It is easily</p><p>comprehensible that the automation of manual tasks is very successful, since it is of very obvious nature. Exactly this factor is the biggest problem in understanding cognitive processes and other products of our mind, that they are not obvious at all. AIl scientists assume that the human brain conducts tasks comparable to a digital computer and must therefore be reproducible as a computer. This view is supported by psychologists who use basic information processing models adapted from computer science to explain the human thought process (Lindsay et. al., 1977). Unfortunately, psychologists are still not completely sure of the way our mind works. We are well aware of the outcome and can predict some of them, but the working procedure behind our decisions remain a mystery. Hubert Dreyfus (Dreyfus, 1999) critically reviewed the psychological, epistemological and ontological grounded expectations of Artificial Intelligence workers. It is his conclusion that the enduring failure of AI to technologically reproduce the function of the human brain serves as empirical evidence against the Foundations of AI itself. According to the Author, it has also not been scientifically proven by the AI community that “the mind must obey a heuristic program”. In fact, psychology suggests that humans commonly make decisions without even considering the situation or their set of standards (Smith, 2003). Dreyfus proves that “arguments which are supposed to show that formalization must be possible are either incoherent or self-contradictory”. Therefore it seems to me, that the current state of the art in AI and Cognitive simulation is at the very limits of technology. For this reason it seems relevant to explore to what extend the current findings and technological solutions can be used to support the activity of the human brain, since it is not possible to replace the human brain by a computational device.</p>

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Josefsson, Dorn, and Fredrik Tideman. "Strategisk planering av Knowledge Managemen." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1343.

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<p>I dagens allt mer globaliserade företagsklimat är det viktigt att på ett optimalt sätt hantera informations- och kunskapsrelaterade frågor. I takt med den ständiga förändringen som pågår så har begreppet Knowledge Management (KM) blivit ett populärt ämnesområde. KM kan enligt oss vara hur en organisation arbetar och hanterar kunskap för att kunna öka sin konkurrenskraft.</p><p>Vårt syfte med denna kandidatuppsats har varit att undersöka hur den mestadels engelsk-språkiga litteraturen inom ämnesområdet KM går att applicera på svenska organisationer. Detta med avsikt på att kunna mäta en organisations KM-tillstånd. Vårt forskningsarbete har även målsättningen att generera förändrings- och förbättringsförslag åt en global orga-nisation som vårt referensföretag.</p><p>För att uppfylla syftet har vi valt att utföra en surveyundersökning som bygger på Bukowitz och Williams bok, The Knowledge Management Fieldbook (1999). Med hjälp av denna lit-teratur kan läsaren undersöka och mäta hur en vald organisation hanterar kunskap.</p><p>Vår forskning visar att den valda undersökningsformen går att använda på svenska organi-sationer men att den besitter vissa brister. Bland förslagen vi tagit fram för att förbättra surveyundersökningen finns förändringar i språkbruket och möjlighet att dela upp under-sökningen i mindre avsnitt.</p><p>Trots undersökningens brister har vi fått fram ett antal förändrings- och förbättringsförslag åt vårt referensföretag. Surveyundersökningen indikerar bland annat på att respondenterna saknar en helhetssyn och en förståelse för organisationens syn på KM. Vidare tyder resulta-tet på att organisationen hade kunnat bli ännu mer konkurrenskraftig genom att tillsätta specialisttjänster i form av till exempel en Knowledge Manager.</p><br><p>The environment of organisations is today becoming more globalized and it is important to optimize the ways of handling with information and knowledge. In this constant change that is going on has the concept Knowledge Management (KM) become popular. KM can according to us be how an organisation work and handle knowledge in order to strengthen their competitiveness.</p><p>Our purpose with this paper has been to examine how KM is described in the, in most parts, English literature and how it can be applied to Swedish organisations in order to measure the KM-condition. The aim of this research project is also to generate changes and improvement suggestions for a global organisation such as our reference organisation.</p><p>In order to obtain our purpose we have chosen to execute a survey investigation that is built on “The Knowledge Management Fieldbook” (1999) authored by Bukowitz and Wil-liams. With this literature the reader is given an opportunity to investigate and measure how a chosen organisation handles knowledge.</p><p>The research shows that the chosen investigation form is possible to use on Swedish or-ganisations even though there are some shortages. Among our proposals, to improve the survey investigation, are a change of language use and to make it possible for the investiga-tor to divide the investigation into smaller parts.</p><p>Despite the shortages in the investigation have we been able to produce a number of sug-gestions for our reference organisation to work with. These suggestions are for example about changes and improvement in KM handling. The survey investigation indicate among other things that the respondents lack an overall picture and understanding for the organi-sations vision of KM. Furthermore our result indicates that the organisation could be able to become even more competitive through appointing specialist posts like for example a Knowledge Manager.</p>

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Houston, Andrea Lynn 1954. "Knowledge integration for medical informatics: An experiment on a cancer information system." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288868.

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This research investigated the question of whether automatic or system-generated information classification methods can help humans better manage information. A series of four experiments were conducted; they investigated the usability (i.e., usefulness) of two automatic approaches to information classification, the concept space approach and a Kohonen-based SOM approach in the context of information retrieval. The concept space approach was evaluated in three different domains: Electronic Brainstorming (EBS) sessions, the Internet, and medical literature (the CancerLit collection). The Kohonen-based SOM approach was evaluated in the Internet and medical literature (CancerLit) domains only. In each case, the approach under investigation was compared with existing systems in order to demonstrate performance viability. The basic premise that information management, in particular information retrieval, can be successfully supported by system-based information classification techniques and that humans would find such techniques viable and useful was supported by the experiments. The concept space approach was more successful than the Kohonen-based SOM approach. After modifications to the algorithms based on user feedback from the EBS experiments had been made, users found the concept space approach results to be comparable (in the Internet study) or superior (in the CancerLit study) to existing information classification systems. The key future enhancement will be incorporation of better ways to identify document descriptors through syntactic and semantic front-end processing. The Kohonen-based SOM approach was considered difficult to use in all but one specialized case (the dynamic SOM created as part of the CancerLit prototype). This can probably be attributed to the fact that its associative organization does not match with the standard mental models (hierarchical and alphabetic) for information classification.

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Saheban, Reza. "Knowledge Map : Do Organizations Take Advantage of Knowledge Map+." Thesis, Jönköping University, JIBS, Business Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-498.

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Cenusa, Anita. "Knowledge Transfer at Husqvarna AB : The role of leadership, IT and management." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-285.

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Wang, Yuan. "Knowledge management from Theory to Practice : A road map for small and medium sized enterprises." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1608.

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<p>Nowadays, business activities become more and more complex; they entangle numerous aspects of knowledge: legal, financial, management, information technology, and so on. Knowledge Management, a still novel solution for most organization, aims boost and optimize the knowledge transfers in organization. The thesis is about should and how small and middle medium enterprises apply knowledge management. The author argues the content of knowledge management, and how implements those ideas into real business environment.</p>

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Ingvarsson, Nils, Alexander Necovski, and Carl Johnson. "Hinder för kunskapsdelning : Att skapa förutsättningar för mer effektiv kunskapsdelning genom reducering av hinder." Thesis, Jönköping University, JIBS, Business Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-813.

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<p>In today’s fast changing environment it is important for knowledge intense companies that want to stay competitive to actively work with their knowledge, knowledge sharing and Knowledge Management (KM). Barriers decrease the efficiency of how knowledge is created, stored and shared, and they are therefore important to reduce or preferably remove making the KM activities result in as much value for the organisation as possible. To achieve this, it is important that the KM activities become a natural part of the employees’ daily work. Activities become natural when employees are truly motivated, which can be achieved through for example further education, reward systems and supporting work conditions.</p><p>In this study we have focused on existing barriers for knowledge sharing and we ask ourselves “what barriers exists?”, “how is existing IT being used as a support?” and “how does motivation, reward and punishment affect knowledge sharing?”. By conducting a qualitative case study at a knowledge intense company in Huskvarna, we will answer these questions and also recommend how the company can reduce the barriers we find, thus creating prerequisites for more effective knowledge sharing. We carried out an interview and an observation of how an employee at the company worked with knowledge sharing.</p><p>Through the case study, we found that the company worked with knowledge sharing using both a discussion forum and a CV database located on the company’s intranet. However, we did find barriers and the most important ones were low awareness and realisation amongst staff of the value and benefit of possessed knowledge, lack of an intentional KM strategy and lastly their IT systems were not adjusted to employees’ needs. The foremost consequence of these barriers is that the company can not effectively utilize their knowledge, which is their most important resource making the company competitive. Since motivation and understanding are the two primary factors for employees to work more naturally with knowledge sharing, and to achieve this we recommend that the company implement some sort of reward or incentive system combined with education.</p><p>In working with this thesis, we have learnt that knowledge sharing exists in all companies, with or without an intentional strategy and with or without IT supporting the activities. Thus, barriers also exist in all companies. The cardinal thing to understand is that companies must work to reduce or remove barriers, regardless how many they are. Knowledge has become such an important resource that no knowledge intense company today can afford to ignore this fact.</p><br><p>För kunskapsintensiva företag är det viktigt att arbeta aktivt med kunskap, kunskapsdelning och Knowledge Management (KM) för att vara konkurrenskraftiga på dagens föränderliga marknad. Vi har i denna studie fokuserat på existerande hinder för kunskapsdelning, användning av IT som stöd och hur motivation, belöning och bestraffning påverkar kunskapsdelningen. Hinder inom KM minskar effektiviteten av hur ny kunskap skapas, lagras och delas, vilket därför måste tas hänsyn till och helst minskas eller undanröjas för att uppnå högsta möjliga värde för organisationen. För att företag ska få största möjliga värde av sitt KM-arbete, är det viktigt att det blir en naturlig del av de anställdas vardag. Därför är det viktigt att skapa en inre långsiktig motivation genom till exempel utbildning, belöning och arbetslivsförutsättningar.</p><p>Utifrån problemdiskussionen ovan ställer vi oss frågorna ”vilka hinder finns?”, ”hur används befintlig IT som stöd?” och ”vilken påverkan har motivation, belöning och bestraffning på kunskapsdelning?”. Genom att utföra en kvalitativ fallstudie på ett kunskapsintensivt företag i Huskvarna, ska vi svara på frågorna ovan och även ge rekommendationer för hur företaget kan reducera de hinder vi kartlägger och därmed skapa förutsättningar för mer effektiv kunskapsdelning. Vi genomförde en intervju och observation av hur en anställd på företaget arbetade med kunskapsdelning.</p><p>Genom fallstudien fick vi reda på att företaget arbetade med kunskapsdelning genom ett diskussionsforum och en CV-databas på deras intranät. Dock kunde vi kartlägga hinder och de viktigaste var att personalen hade låg medvetenhet av värdet och fördelarna med den innestående kunskapen för andra anställda, företaget hade inte en medveten KM-strategi samt att de IT-system som företaget använde inte var anpassade efter personalens behov. Den främsta konsekvensen av hindren blir att företaget inte mer effektivt kan nyttja den kunskap som är den främsta resursen för att företaget ska vara konkurrenskraftigt. Eftersom motivation och förståelse för kunskapsdelning är två av de viktigaste faktorerna för att personal naturligt ska vilja arbeta med kunskapsdelning, rekommenderar vi företaget att införa någon form av belöningssystem kombinerat med utbildning för att uppnå detta.</p><p>Vi har genom denna uppsats lärt oss att kunskapsdelning förekommer på alla företag, med en medveten eller omedveten strategi och med eller utan IT som stöd. Således förekommer det också hinder på alla företag. Det viktiga att förstå är att företag aktivt måste arbeta med att reducera eller undanröja hinder, oavsett om det är ett eller flera. Kunskap har idag blivit en så pass viktig resurs att inget kunskapsintensivt företag har råd att ignorera detta faktum.</p>

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Maynard, Diana Gabrielle. "Term recognition using combined knowledge sources." Thesis, Manchester Metropolitan University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311203.

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Jengard, Linus. "Project Knowledge Management : How to evaluate project knowledge, and Project Knowledge Management performance." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-2538.

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<p><em>Project Knowledge Management</em> and more specifically how organisations capture experiences gained in projects, is a critical topic in order to compete in the knowledge economy. Little attention has been given the catchphrase <em>lessons learned practices</em> as a research area. The purpose of the thesis is therefore to analyse the framework for the <em>project closure phase</em> through a <em>Knowledge Management</em> perspective. The purpose is also to evaluate how new knowledge, captured by <em>project closure documents</em>, can be identified and measured.</p><p>To fulfil the purpose, the <em>project closure phase</em> and <em>project closure documents</em> within the project model <em>Practical Project Steering</em> are studied. Through a document study, the framework that the project model gives, and the <em>project closure documents</em> is analysed. The <em>project closure documents</em> are also examined regarding the experiences they capture. This is done by developing an instrument for identifying and measuring new knowledge.</p><p>Through the study, it can be established that the <em>project closure phase</em> provides for a link between <em>Knowledge Management</em> and <em>Project Management</em>. It has an important contribution to <em>Knowledge Management</em> since it mitigates the risk of not transferring knowledge to the organisational memory. The use of predefined knowledge domains supports structure, and systemisation in the production of the documents, as well as in the compilation and dissemination of useful knowledge.</p><p>New knowledge within the <em>project closure phase</em> can be identified and measured by dividing the documents into isolated pieces of information and using developed criteria to identify, and thereby quantify new knowledge. The instrument is highly reliable since it is ensured that the division of information does not result in any decontextualisation, and since the criteria used are very stable, and still acknowledge the dynamics of knowledge as well as the knowledge context.</p><p>By using the measurements on empirical data, problems that are important to acknowledge are identified. There is an uneven distribution of knowledge types acquired by the <em>project closure documents</em>, regardless of their importance; resulting in loss of important knowledge. The difficulty to formalise important knowledge, results in failing to transfer knowledge to an external organisational memory. The difficulty to distribute knowledge sufficiently, results in re-invention of the wheel, and the same mistakes being made twice or more.</p>

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Books on the topic "Informatics knowledge"

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1947-, Sorenson Dean K., and Bouhaddou Omar, eds. Knowledge engineering in health informatics. Springer, 1997.

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Warner, Homer R., Dean K. Sorenson, and Omar Bouhaddou. Knowledge Engineering in Health Informatics. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1822-7.

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Warner, Homer R. Knowledge engineering in health informatics. Springer, 1997.

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Brodnik, Andrej, and Françoise Tort, eds. Informatics in Schools: Improvement of Informatics Knowledge and Perception. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46747-4.

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López, Jesús A., Emilio Benfenati, and Werner Dubitzky, eds. Knowledge Exploration in Life Science Informatics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b103729.

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van Ooijen, Peter M. A., ed. Basic Knowledge of Medical Imaging Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71885-5.

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Nursing informatics and the foundation of knowledge. 2nd ed. Jones & Bartlett Learning, 2012.

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Knowledge transfer: Practices, types, and challenges. Nova Science Publishers, 2011.

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Holzinger, Andreas, and Igor Jurisica, eds. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43968-5.

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Roos, N. TUD Faculty of Technical Mathematics and Informatics: Heuristic reasoning. National Aerospace Laboratory, 1988.

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Book chapters on the topic "Informatics knowledge"

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Collen, Morris F. "Medical Knowledge Databases." In Health Informatics. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-962-8_8.

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Fung, Kin Wah, and Olivier Bodenreider. "Knowledge Representation and Ontologies." In Health Informatics. Springer London, 2012. http://dx.doi.org/10.1007/978-1-84882-448-5_14.

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Burson, Rosanne, Dianne Conrad, Catherine Corrigan, et al. "Knowledge Networks in Nursing." In Health Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58740-6_14.

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Ellis, James O. "Countering Terrorism with Knowledge." In Terrorism Informatics. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-71613-8_7.

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Spencer, Anne, and Pamela Hussey. "Knowledge Networks in Nursing." In Health Informatics. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-2999-8_21.

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Fung, Kin Wah, and Olivier Bodenreider. "Knowledge Representation and Ontologies." In Health Informatics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98779-8_15.

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Gupta, Samir, and K. Ann McKibbon. "Informatics interventions." In Knowledge Translation in Health Care. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118413555.ch17.

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Braunstein, Mark L., and Mark L. Braunstein. "Increasing Knowledge." In Health Informatics in the Cloud. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5629-2_7.

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Torres-Urquidy, Miguel H., Valerie Powell, Franklin Din, Mark Jurkovich, and Valerie Bertaud-Gounot. "Knowledge Standardization, Management, and Integration." In Health Informatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98298-4_13.

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Rambo, Neil, and Christine C. Beahler. "Knowledge-Based Information and Systems." In Health Informatics. Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22745-8_18.

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Conference papers on the topic "Informatics knowledge"

1

Lis, Tomasz, and Paula Bajdor. "Knowledge as a subject of logistics management." In 2015 IEEE 13th International Scientific Conference on Informatics. IEEE, 2015. http://dx.doi.org/10.1109/informatics.2015.7377828.

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Oreski, Predrag, and Matija Varga. "STUDENTS' BACKGROUND KNOWLEDGE OF INFORMATICS." In International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/inted.2016.0473.

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Wang, Yingxu. "On Cognitive Informatics Foundations of Knowledge and Formal Knowledge Systems." In 6th IEEE International Conference on Cognitive Informatics. IEEE, 2007. http://dx.doi.org/10.1109/coginf.2007.4341899.

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Yulistia, Ermatita, and Reza Firsandaya Malik. "Knowledge Transfer Model for Private Higher Education Knowledge Management System." In 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2019. http://dx.doi.org/10.1109/icimcis48181.2019.8985229.

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Ge, Ansheng, Wenji Mao, Daniel Zeng, Qingchao Kong, and Huachi Zhu. "Extracting action knowledge in security informatics." In 2012 IEEE International Conference on Intelligence and Security Informatics (ISI 2012). IEEE, 2012. http://dx.doi.org/10.1109/isi.2012.6284290.

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Ghahfarokhi, Akbar Dehghani, and Mohamad Shanudin Zakaria. "Knowledge retention in knowledge management system: Review." In 2009 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2009. http://dx.doi.org/10.1109/iceei.2009.5254717.

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"Knowledge and information management." In 2013 IEEE 11th International Conference on Industrial Informatics (INDIN). IEEE, 2013. http://dx.doi.org/10.1109/indin.2013.6622937.

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Heng-Li Yang and Ted C. T. Wu. "Knowledge sharing in an organization - Share or not?" In Informatics (ICOCI). IEEE, 2006. http://dx.doi.org/10.1109/icoci.2006.5276482.

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Alquier, Laurent, Keith McCormick, and Ed Jaeger. "knowIT, a semantic informatics knowledge management system." In the 5th International Symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1641309.1641340.

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Verma, Rajeev, and Preetam Kumar. "Knowledge Graph Representation Learning Based Drug Informatics." In 2019 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2019. http://dx.doi.org/10.1109/conecct47791.2019.9012934.

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Reports on the topic "Informatics knowledge"

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Patton, Robert M., Christopher T. Symons, Bryan L. Gorman, and Jim N. Treadwell. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1042913.

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Doyle, Jon, Isaac Kohane, William J. Long, and Peter Szolovits. Adaptive Knowledge-Based Monitoring for Information Assurance. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada399880.

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Fountain, Darrell D. Knowledge Management in an Information Age Army. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada469106.

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Kappes, Sandra, and Beverly Thomas. A Model for Knowledge Worker Information Support. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada273182.

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Garrett, R. G., and A. G. Fabbri. Introduction, Intelligent information management: knowledge-based systems. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193922.

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Pollock, Neal. Knowledge Management and Information Technology (Know-IT Encyclopedia). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada407692.

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Liuzzi, Raymond A. Rapid Knowledge Formation (RFK) Information & Transition Support. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada430270.

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Martin, Darryl B. Knowledge Management: An Effort to Keep Pace with Information. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada502963.

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Longstaff, Thomas, and Yacov Y. Haimes. Education and Knowledge Management: A Requisite for Information Assurance. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada399867.

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Guthrie, Samuel A. Knowledge-Based Operations: The 'So What' of Information Warfare. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300210.

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