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Dissertations / Theses on the topic 'Medical Text'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Drusiani, Alberto. "Deep Learning Text Classification for Medical Diagnosis." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17281/.

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The ICD coding is the international standard for the classification of diseases and related disorders, drawn up by the World Health Organization. It was introduced to simplify the exchange of medical data, to speed up statistical analyzes and to make insurance reimbursements efficient. The manual classification of ICD-9-CM codes still requires a human effort that implies a considerable waste of resources and for this reason several methods have been presented over the years to automate the process. In this thesis an approach is proposed for the automatic classification of medical diagnoses i

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2

Sætre, Rune. "GeneTUC: Natural Language Understanding in Medical Text." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-545.

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<p>Natural Language Understanding (NLU) is a 50 years old research field, but its application to molecular biology literature (BioNLU) is a less than 10 years old field. After the complete human genome sequence was published by Human Genome Project and Celera in 2001, there has been an explosion of research, shifting the NLU focus from domains like news articles to the domain of molecular biology and medical literature. BioNLU is needed, since there are almost 2000 new articles published and indexed every day, and the biologists need to know about existing knowledge regarding their own researc

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Neamatullah, Ishna. "Automated de-identification of free-text medical records." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/41622.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 62-64).<br>This paper presents a de-identification study at the Harvard-MIT Division of Health Science and Technology (HST) to automatically de-identify confidential patient information from text medical records used in intensive care units (ICUs). Patient records are a vital resource in medical research. Before such records can be made available for research studies, protected health information (PHI) must be thoroughly scrubbed accord

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Savkov, Aleksandar Dimitrov. "Deciphering clinical text : concept recognition in primary care text notes." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/68232/.

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Electronic patient records, containing data about the health and care of a patient, are a valuable source of information for longitudinal clinical studies. The General Practice Research Database (GPRD) has collected patient records from UK primary care practices since the late 1980s. These records contain both structured data (in the form of codes and numeric values) and free text notes. While the structured data have been used extensively in clinical studies, there are significant practical obstacles in extracting information from the free text notes. The main obstacles are data access restri

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Shu, Jennifer (Jennifer J. ). "Free text phrase encoding and information extraction from medical notes." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/37064.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 87-90).<br>The Laboratory for Computational Physiology is collecting a large database of patient signals and clinical data from critically ill patients in hospital intensive care units (ICUs). The data will be used as a research resource to support the development of an advanced patient monitoring system for ICUs. Important pathophysiologic events in the patient data streams must be recognized and annotated by expert clinicians in order

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Leroy, Gondy, Hsinchun Chen, Jesse D. Martinez, et al. "Genescene: Biomedical Text And Data Mining." Wiley Periodicals, Inc, 2005. http://hdl.handle.net/10150/105791.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from text and experimental data. These provide a more detailed overview of the information available. The extracted relations were evaluated by qualified researchers and are precise. A qualitative ongoing evaluation of the current online interface indicates that this m

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Civera, Saiz Jorge. "An evaluation of alternative strategies for clustering genes from medical text." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/8664.

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Leong, Elaine. "Medical recipe collections in seventeenth-century England : knowledge, text and gender." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432177.

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9

Finch, Dezon K. "TagLine: Information Extraction for Semi-Structured Text Elements In Medical Progress Notes." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4321.

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Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in semi-structure text elements. A prototype system (TagLine) was developed as a method for extracting information from the semi-structured portions of text using machine learning. Features for the learning machine were suggested by prior work, as well as by

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Nääs, Johanna, and Emma Thurfjell. "Språklig komplexitet och narrativ struktur i skriven text : En jämförelse mellan elever med och utan lässvårigheter." Thesis, Umeå universitet, Logopedi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148330.

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Sammanfattnin Bakgrund I årskurs 3 i svenska grundskolan skrivs Nationella proven i svenska och ett av delproven är att skriva en berättande (narrativ) text. När berättande texter analyseras i forskning kan språklig komplexitet och narrativ struktur undersökas. Att undersöka vilka delar i skrivandet som kan vara svårt är av värde för att kunna anpassa undervisning för olika elevgrupper. Syfte Syftet med föreliggande studie var att undersöka språklig komplexitet och narrativ struktur i texter skrivna av elever med och utan lässvårigheter. Metod I studien deltog 63 elever. Dess

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11

Alanazi, Saad. "A Named Entity Recognition system applied to Arabic text in the medical domain." Thesis, Staffordshire University, 2017. http://eprints.staffs.ac.uk/3129/.

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Currently, 30-35% of the global population uses the Internet. Furthermore, there is a rapidly increasing number of non-English language internet users, accompanied by an also increasing amount of unstructured text online. One area replete with underexploited online text is the Arabic medical domain, and one method that can be used to extract valuable data from Arabic medical texts is Named Entity Recognition (NER). NER is the process by which a system can automatically detect and categorise Named Entities (NE). NER has numerous applications in many domains, and medical texts are no exception.

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Frunza, Oana Magdalena. "Personalized Medicine through Automatic Extraction of Information from Medical Texts." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22724.

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The wealth of medical-related information available today gives rise to a multidimensional source of knowledge. Research discoveries published in prestigious venues, electronic-health records data, discharge summaries, clinical notes, etc., all represent important medical information that can assist in the medical decision-making process. The challenge that comes with accessing and using such vast and diverse sources of data stands in the ability to distil and extract reliable and relevant information. Computer-based tools that use natural language processing and machine learning

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Rios, Anthony. "Deep Neural Networks for Multi-Label Text Classification: Application to Coding Electronic Medical Records." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/71.

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Coding Electronic Medical Records (EMRs) with diagnosis and procedure codes is an essential task for billing, secondary data analyses, and monitoring health trends. Both speed and accuracy of coding are critical. While coding errors could lead to more patient-side financial burden and misinterpretation of a patient’s well-being, timely coding is also needed to avoid backlogs and additional costs for the healthcare facility. Therefore, it is necessary to develop automated diagnosis and procedure code recommendation methods that can be used by professional medical coders. The main difficulty wit

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Fioramonte, Amy. "A Study of Pragmatic Competence: International Medical Graduates' and Patients' Negotiation of the Treatment Phase of Medical Encounters." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5478.

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Despite advances in medical technologies, interpersonal communication remains the primary tool physicians use to exchange information, make diagnoses, and treat patients (Cameron & Williams, 1997; Groopman, 2007; Ong, de Haes, Hoos, & Lammes, 1995). In the medical encounter effective communication between physician and patient is essential so that beneficial health and wellbeing outcomes are achieved for patients. Taking a discourse analytic approach, this study examined interactions occurring between international medical graduate (IMG) residents, attending physicians, and patients during the

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15

Nicholls, Joseph Anthony. "Text search : information-seeking strategies using paper and CD-ROM versions of a medical textbook." Thesis, University of Leeds, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343634.

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Bhooshan, Neha. "Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33111.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (leaf 38).<br>Two different classification algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, were extracted from a set of doctors' notes using a part of speech tagger and a parser. Each compound was labeled with a semantic relationship, and each word in the compound was mapped to its corresponding

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Sethi, Iccha. "Clinician Decision Support Dashboard: Extracting value from Electronic Medical Records." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/41894.

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Medical records are rapidly being digitized to electronic medical records. Although Electronic Medical Records (EMRs) improve administration, billing, and logistics, an open research problem remains as to how doctors can leverage EMRs to enhance patient care. This thesis describes a system that analyzes a patientâ s evolving EMR in context with available biomedical knowledge and the accumulated experience recorded in various text sources including the EMRs of other patients. The aim of the Clinician Decision Support (CDS) Dashboard is to provide interactive, automated, actionable EMR text-min

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Christiansen, Ammon J. "Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/872.

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This work addresses the need for an alternative to keyword-based search for sifting through large PDF medical journal article document collections for literature review purposes. Despite users' best efforts to form precise and accurate queries, it is often difficult to guess the right keywords to find all the related articles while finding a minimum number of unrelated ones. Failure during literature review to find relevant, related research results in wasted research time and effort in addition to missing significant work in the related area which could affect the quality of the research work

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Wang, Jingcheng. "A Rule-based Methodology and Feature-based Methodology for Effect Relation Extraction in Chinese Unstructured Text." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14152.

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The Chinese language differs significantly from English, both in lexical representation and grammatical structure. These differences lead to problems in the Chinese NLP, such as word segmentation and flexible syntactic structure. Many conventional methods and approaches in Natural Language Processing (NLP) based on English text are shown to be ineffective when attending to these language specific problems in late-started Chinese NLP. Relation Extraction is an area under NLP, looking to identify semantic relationships between entities in the text. The term “Effect Relation” is introduced in th

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Hozayen, Ghada. "A study of the discussion section of the medical research article : a genre based approach to text analysis." Thesis, University of Birmingham, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250267.

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Hellström, Karlsson Rebecca. "Aiding Remote Diagnosis with Text Mining." Thesis, KTH, Människa och Kommunikation, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215760.

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The topic of this thesis is on how text mining could be used on patient-reported symptom descriptions, and how it could be used to aid doctors in their diagnostic process. Healthcare delivery today is struggling to provide care to remote settings, and costs are increasing together with the aging population. The aid provided to doctors from text mining on patient descriptions is unknown.Investigating if text mining can aid doctors by presenting additional information, based on what patients who write similar things to what their current patient is writing about, could be relevant to many settin

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Isenius, Niklas, Sumithra Velupillai, and Maria Kvist. "Initial Results in the Development of SCAN : a Swedish Clinical Abbreviation Normalizer." Stockholms universitet, Institutionen för data- och systemvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-82245.

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Abbreviations are common in clinical documentation, as this type of text is written under time-pressure and serves mostly for internal communication. This study attempts to apply and extend existing rule-based algorithms that have been developed for English and Swedish abbreviation detection, in order to create an abbreviation detection algorithm for Swedish clinical texts that can identify and suggest definitions for abbreviations and acronyms. This can be used as a pre-processing step for further information extraction and text mining models, as well as for readability solutions. Through a l

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Ellis, Olga. "Voice vs. Text Chats: Their Efficacy for Learning Probing Questions by Non-Native Speaking Medical Professionals in Online Courses." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/228635.

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Through an English for Specific Purposes (ESP): Communication in Nursing online course, the present study examines the efficacy of synchronous voice-based and text-based chats as instructional and communicative modes in learning to use open questions for probing in therapeutic dialogues by non-native speaking (NNS) participants, students of a nursing college at a major university in the Philippines. The study draws on a plethora of research findings in online education, ESP online course designs, text-based vs. voice-based synchronous chats and their place in learning online, efficacy and appl

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Jabbour, Georgette. "Corpus linguistics, contextual collocation and ESP syllabus creation : a text-analysis approach to the study of medical research articles." Thesis, University of Birmingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342109.

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Bustos, Aurelia. "Extraction of medical knowledge from clinical reports and chest x-rays using machine learning techniques." Doctoral thesis, Universidad de Alicante, 2019. http://hdl.handle.net/10045/102193.

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This thesis addresses the extraction of medical knowledge from clinical text using deep learning techniques. In particular, the proposed methods focus on cancer clinical trial protocols and chest x-rays reports. The main results are a proof of concept of the capability of machine learning methods to discern which are regarded as inclusion or exclusion criteria in short free-text clinical notes, and a large scale chest x-ray image dataset labeled with radiological findings, diagnoses and anatomic locations. Clinical trials provide the evidence needed to determine the safety and effectiveness o

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Håkansson, Susanne. "Health and Place : Terminology, proper nouns and titles of cited publications in the translation of a text on medical geology." Thesis, Linnaeus University, School of Language and Literature, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-8227.

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<p>This essay deals with some of the difficulties that translation of a technical text may present, more specifically the handling of terminology, proper nouns and titles of cited publications. For this purpose, a text dealing with medical geology, taken from <em>Essentials of Medical Geology</em> (Selinus <em>et al</em>., 2005), was translated and analysed.</p><p>Medical geology is an interdisciplinary science and hence contains terminology from several different scientific areas. The present study includes terminology within the field of medicine and geochemistry in the analysis. The preferr

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Lanera, Corrado. "Sviluppo e applicazione di tecniche di apprendimento automatico per l'analisi e la classificazione del testo in ambito clinico. Development and Application of Machine Learning Techniques for Text Analyses and Classification in Clinical Research." Doctoral thesis, Università degli studi di Padova, 2020. http://hdl.handle.net/11577/3426256.

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The content of Electronic Health Records (EHRs) is hugely heterogeneous, depending on the overall health system structure. Possibly, the most present and underused unstructured type of data included in the EHRs is the free-text. Nowadays, with Machine Learning (ML), we can take advantage of automatic models to encode narratives showing performance comparable to the human ones. In this dissertation, the focus is on the investigation of ML Techniques (MLT) to get insights from free-text in clinical settings. We considered two main groups of free-text involved in clinical research. The first is c

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Kavasidis, Isaak. "Multifaceted analysis for medical data understanding: from data acquisition to multidimensional signal processing to knowledge discovery." Doctoral thesis, Università di Catania, 2016. http://hdl.handle.net/10761/3925.

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Large quantities of medical data are routinely generated each day in the form of text, images and time signals, making evident the need to develop new methodologies not only for the automatization of the processing and management of such data, but also for the deeper un- derstanding of the concepts hidden therein. The main problem that arises is that the acquired data cannot always be in an appropriate state or quality for quantitative analysis, and further processing is often necessary in order to enable automatic processing and manage- ment as well as to increase the accuracy of the results.

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Williams, Laura Elizabeth. "Painful transformations : a medical approach to experience, life cycle and text in British Library, Additional MS 61823, 'The Book of Margery Kempe'." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/24288.

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This thesis interprets The Book of Margery Kempe using a medieval medical approach. Through an interdisciplinary methodology based on a medical humanities framework, the thesis explores the significance of Kempe’s painful experiences through a broad survey of the human life cycle, as understood in medieval culture. In exploring the interplay of humoral theory, medical texts, religious instruction and life cycle taxonomies, it illustrates the porousness of medicine and religion in the Middle Ages and the symbiotic relationship between spiritual and corporeal health. In an age when the circulati

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Daidoji, Keiko. "What a household with sick persons should know : expressions of body and illness in a medical text of early nineteenth-century Japan." Thesis, SOAS, University of London, 2009. http://eprints.soas.ac.uk/29267/.

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This thesis assesses the image and expressions of the body and illness in Japan during the Edo period (1603-1867), by examining a text on the cultivation of life, Byoka suchi (What a household with sick persons should know). A unique feature of Byoka suchi is its use of script combining Chinese characters and Japanese readings in the form of furigana. Furigana are conventionally employed to signal the pronunciation of Chinese characters, but the furigana in Byoka suchi function as a means for giving the author's translation into the everyday native language of medical terms which are tradition

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Assefa, Shimelis G. "Human concept cognition and semantic relations in the unified medical language system: A coherence analysis." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc4008/.

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There is almost a universal agreement among scholars in information retrieval (IR) research that knowledge representation needs improvement. As core component of an IR system, improvement of the knowledge representation system has so far involved manipulation of this component based on principles such as vector space, probabilistic approach, inference network, and language modeling, yet the required improvement is still far from fruition. One promising approach that is highly touted to offer a potential solution exists in the cognitive paradigm, where knowledge representation practice should i

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Walker, Briana Shanise. "Rethinking Document Classification: A Pilot for the Application of Text Mining Techniques To Enhance Standardized Assessment Protocols for Critical Care Medical Team Transfer of Care." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496760037827537.

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Strallhofer, Daniel, and Jonatan Ahlqvist. "Classifying Urgency : A Study in Machine Learning for Classifying the Level of Medical Emergency of an Animal’s Situation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231476.

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This paper explores the use of Naive Bayes as well a Linear Support Vector Machines in order to classify a text based on the level of medical emergency. The primary source of testing will be an online veterinarian service’s customer data. The aspects explored are whether a single text gives enough information for a medical decision to be made and if there are alternative data gathering processes that would be preferred. Past research has proven that text classiﬁers based on Naive Bayes and SVMs can often give good results. We show how to optimize the results so that important decisions can be

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Schnackenberg, Andrew K. "Symbolizing Institutional Change: Media Representations and Legality in the Payday Loan and Medical Marijuana Industries." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405090956.

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Lindell, Klara. "A standard case of subtitling. : A comparative analysis of the subtitling of Scrubs and House M.D. with a focus on medical terminology." Thesis, Stockholms universitet, Engelska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-78325.

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Toury’s first law of translation states that translation of all kinds entails standardisation and, moreover, that the more peripheral the status of a text is, the more standardised its translation will be. As such, the purpose of this essay was to investigate to what extent this holds true in the Swedish translations of the two US television hospital shows Scrubs and House M.D. Though they are both hospital shows, House M.D. – considering its unprecedented genre hybridity and unusual plot structure – is a less mainstream and, as such, more peripheral example of a hospital show than Scrubs, whi

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Colepícolo, Eliane [UNIFESP]. "Epistemologia da Informática em Saúde: entre a teoria e a prática." Universidade Federal de São Paulo (UNIFESP), 2008. http://repositorio.unifesp.br/handle/11600/9468.

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Made available in DSpace on 2015-07-22T20:50:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-03-26<br>Epistemologia da Informática em Saúde: entre a teoria e a prática. Eliane Colepí-colo. 2008. CONTEXTO. O objetivo dessa pesquisa é compreender a epistemologia da área de Informática em Saúde (IS) por meio de um estudo comparativo entre aspectos teóricos e práticos desta disciplina. MATERIAIS E MÉTODOS. O estudo foi dividido em 3 eta-pas: estudo estatístico, estudo terminológico e estudo epistemológico. O estudo esta-tístico envolveu o desenvolvimento e uso de robô para extração de

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Samuel, Jarvie John. "Elicitation of Protein-Protein Interactions from Biomedical Literature Using Association Rule Discovery." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30508/.

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Extracting information from a stack of data is a tedious task and the scenario is no different in proteomics. Volumes of research papers are published about study of various proteins in several species, their interactions with other proteins and identification of protein(s) as possible biomarker in causing diseases. It is a challenging task for biologists to keep track of these developments manually by reading through the literatures. Several tools have been developed by computer linguists to assist identification, extraction and hypotheses generation of proteins and protein-protein interactio

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Andersson, Kronlid Maja, and Hanna Björklund. "Narrativ förmåga i återberättande hos elever med svag textförståelse i åk 2." Thesis, Umeå universitet, Logopedi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136475.

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Bakgrund. Stor del av barns spontana kommunikation sker i form av berättande och genom att undersöka mikro- och makrostrukturer i återberättande kan olika aspekter av den språkliga förmågan kartläggas. Barn med svag textförståelse uppvisar svårigheter i många språkliga områden och en god kartläggning kan både ligga till grund för identifiering av de individer som behöver stöd samt vara vägledande i interventionsplanering. Syfte. I första delen av studien var syftet att undersöka mikro- och makrostrukturella skillnader i narrativt återberättande mellan elever med svag textförståelse och elever

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Bongiovanni, Alberto <1981&gt. "Predictive And Prognostic Role Of Biological Markers In Neuroendocrine Neoplasia And Evaluation Of Activity And Safety Of Second Line Treatments In Neuroendocrine Carcinoma Patients." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/9994/1/text%20PHD%20post%20rev_merged.pdf.

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BACKGROUND Neuroendocrine neoplasia (NEN) are divided in well differentiated G1,G2 and G3 neuroendocrine tumors (NETs) and G3 neuroendocrine carcinomas (NECs). For the latter no standard therapy in second-line is available and prognosis is poor. METHODS Primary aim was to evaluate new prognostic and predictive biomarkers (WP1-3). In WP4 we explored the activity of FOLFIRI and CAPTEM as second-line in NEC patients in a multicenter non-comparative phase II trial RESULTS In WP1-2 we found that 4 of 6 GEP-NEC patients with a negative 68Ga-PET/CT had a loss of expression of RB1. In WP3 on 47 G

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Miller, P. W. "Vocabulary and reading medical texts." Thesis, Swansea University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638194.

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In both first language and foreign language contexts there has been considerable debate as to the exact nature of the relationship between readers' levels of vocabulary knowledge and their ability to comprehend texts. This research examines this relationship in detail and in particular addresses three specific issues: a) How important is vocabulary knowledge for Spanish speakers reading medical texts in English?; b) What levels of vocabulary knowledge are required by these readers for this task?; and c) What other factors influence the levels of vocabulary knowledge needed for successful text

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Cederblad, Gustav. "Finding Synonyms in Medical Texts : Creating a system for automatic synonym extraction from medical texts." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149643.

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This thesis describes the work of creating an automatic system for identifying synonyms and semantically related words in medical texts. Before this work, as a part of the project E-care@home, medical texts have been classified as either lay or specialized by both a lay annotator and an expert annotator. The lay annotator, in this case, is a person without any medical knowledge, whereas the expert annotator has professional knowledge in medicine. Using these texts made it possible to create co-occurrences matrices from which the related words could be identified. Fifteen medical terms were cho

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Bigeard, Elise. "Détection et analyse de la non-adhérence médicamenteuse dans les réseaux sociaux." Thesis, Lille 3, 2019. http://www.theses.fr/2019LIL3H026.

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La non-adhérence médicamenteuse désigne les situations où le patient ne suit pas les directives des autorités médicales concernant la prise d'un médicament. Il peut s'agir d'une situation où le patient prend trop (sur-usage) ou pas assez (sous-usage) de médicaments, boit de l'alcool alors qu'il y a une contrindication, ou encore commet une tentative de suicide à l'aide de médicaments. Selon [HAYNES 2002] améliorer l'adhérence pourrait avoir un plus grand impact sur la santé de la population que tout autre amélioration d'un traitement médical spécifique. Cependant les données sur la non-adhéren

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Nelsson, Mikael. "Deep learning for medical report texts." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-356140.

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Data within the medical sector is often stored as free text entries. This is especially true for report texts, which are written after an examination. To be able to automatically gather data from these texts they need to be analyzed and classified to show what findings the examinations had. This thesis compares three state of the art deep learning approaches to classify short medical report texts. This is done for two types of examinations, so the concept of transfer learning plays a role in the evaluation. An optimal model should learn concepts that are applicable for more than one type of ex

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Barbosa, Alexandre Nunes. "Descoberta de conhecimento aplicado à base de dados textual de saúde." Universidade do Vale do Rio dos Sinos, 2012. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4559.

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Submitted by William Justo Figueiro (williamjf) on 2015-07-18T12:21:33Z No. of bitstreams: 1 42c.pdf: 1016491 bytes, checksum: 407619e0114b592531ee5a68ca0fd0f9 (MD5)<br>Made available in DSpace on 2015-07-18T12:21:33Z (GMT). No. of bitstreams: 1 42c.pdf: 1016491 bytes, checksum: 407619e0114b592531ee5a68ca0fd0f9 (MD5) Previous issue date: 2012<br>UNISINOS - Universidade do Vale do Rio dos Sinos<br>Este trabalho propõe um processo de investigação do conteúdo de uma base de dados, composta por dados descritivos e pré-estruturados do domínio da saúde, mais especificamente da área da Reumatol

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Weidow, Rebecka, and Jennie Olsén. "Framtagning av förnyat material för Hörtröskel för tal-test." Thesis, Örebro universitet, Institutionen för hälsovetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-85794.

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Albitar, Shereen. "De l'usage de la sémantique dans la classification supervisée de textes : application au domaine médical." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4343/document.

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Cette thèse porte sur l’impact de l’usage de la sémantique dans le processus de la classification supervisée de textes. Cet impact est évalué au travers d’une étude expérimentale sur des documents issus du domaine médical et en utilisant UMLS (Unified Medical Language System) en tant que ressource sémantique. Cette évaluation est faite selon quatre scénarii expérimentaux d’ajout de sémantique à plusieurs niveaux du processus de classification. Le premier scénario correspond à la conceptualisation où le texte est enrichi avant indexation par des concepts correspondant dans UMLS ; le deuxième et

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Radovanovic, Aleksandar. "Concept Based Knowledge Discovery from Biomedical Literature." Thesis, Online access, 2009. http://etd.uwc.ac.za/usrfiles/modules/etd/docs/etd_gen8Srv25Nme4_9861_1272229462.pdf.

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Karlsson, Pernilla, and Maria Rytiniemi. "En normeringsstudie av ”The timed water swallow test” (TWST) för personer över 60 år." Thesis, Umeå universitet, Logopedi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161231.

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Bakgrund “The Timed Water Swallow Test” (TWST) är ett screeningverktyg för dysfagi som ger ett mått på en persons sväljkapacitet (ml/s). Tidigare normeringsstudier har konstaterat att en sväljkapacitet under 10 ml/s är en indikator på sväljningsdysfunktion för personer under 70 år. Huruvida denna gränsnivå är representativ för personer över 70 år är dock något oklart då det föreligger brister i normvärden för den äldre populationen. Eftersom dysfagi är vanligare bland äldre personer är det viktigt att det finns tillförlitliga normvärden för att TWST ska kunna tolkas med större tillförlitlighet

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49

Keightley, Sofia. "Changements syntaxiques, modulations et adaptations dans un texte medical." Thesis, Linnéuniversitetet, Institutionen för språk (SPR), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-26779.

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Abstract This study examines which measures that are possible to take whilst translating a medical text, in order to make it more subtle, more personal and to draw the reader’s attention to the essential information. Whilst doing this we have to keep in mind the importance of making sure that the text will work in its new cultural situation. This study will also bring up the other factors that will have to be respected and taken into account in order to place the text correctly in the new cultural and moral context. We have used Vinay and Darbelent’s methodology to help us with both the transl

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Blackman, Nicole Jill-Marie. "Criteria for demonstrating the efficacy of a medical test." Thesis, De Montfort University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246528.

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