Unified Medical Language System (UMLS)
Author: Catherine Selden
Publisher:
Published: 1997
Total Pages: 56
ISBN-13:
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Unified Medical Language System
Author: Catherine Roos Selden
Publisher: DIANE Publishing
Published: 1997-06
Total Pages: 70
ISBN-13: 0788144812
DOWNLOAD EBOOKThe Unified Medical Language System (UMLS) project is along-term R&D effort with the ambitious goal of enabling computer systems to understandÓ medical meaning. This is essential to the development of advanced health information systems. This annotated bibliography of 280 citations covers: UMLS knowledge sources; UMLS applications (vocabulary construction & concept discovery; data creation; natural language processing, indexing, & retrieval; linking clinical systems to knowledge-based info. sources; access to multiple knowledge-based info. sources); preliminary & ancillary studies; UMLS in relation to other programs; & opinions about UMLS.
Fundamentals of Clinical Data Science
Author: Pieter Kubben
Publisher: Springer
Published: 2018-12-21
Total Pages: 219
ISBN-13: 3319997130
DOWNLOAD EBOOKThis open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Digital Personalized Health and Medicine
Author: L.B. Pape-Haugaard
Publisher: IOS Press
Published: 2020-06-17
Total Pages: 1498
ISBN-13: 1643680838
DOWNLOAD EBOOKDigital health and medical informatics have grown in importance in recent years, and have now become central to the provision of effective healthcare around the world. This book presents the proceedings of the 30th Medical Informatics Europe conference (MIE). This edition of the conference, hosted by the European Federation for Medical Informatics (EFMI) since the 1970s, was due to be held in Geneva, Switzerland in April 2020, but as a result of measures to prevent the spread of the Covid19 pandemic, the conference itself had to be cancelled. Nevertheless, because this collection of papers offers a wealth of knowledge and experience across the full spectrum of digital health and medicine, it was decided to publish the submissions accepted in the review process and confirmed by the Scientific Program Committee for publication, and these are published here as planned. The 232 papers are themed under 6 section headings: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; and ethics, legal and societal aspects. A 7th section deals with the Swiss personalized health network, and section 8 includes the 125 posters accepted for the conference. Offering an overview of current trends and developments in digital health and medical informatics, the book provides a valuable information resource for researchers and health practitioners alike.
Clinical Text Mining
Author: Hercules Dalianis
Publisher: Springer
Published: 2018-05-14
Total Pages: 192
ISBN-13: 3319785036
DOWNLOAD EBOOKThis open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
Medical Informatics
Author: Hsinchun Chen
Publisher: Springer Science & Business Media
Published: 2006-07-19
Total Pages: 656
ISBN-13: 038725739X
DOWNLOAD EBOOKComprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.
Modern Computational Approaches to Traditional Chinese Medicine
Author: Zhaohui Wu
Publisher: Elsevier
Published: 2012-10-22
Total Pages: 252
ISBN-13: 0123985196
DOWNLOAD EBOOKRecognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM's independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine. - Interdisciplinary book bringing together Traditional Chinese Medicine and computer scientists - Introduces novel network technologies to Traditional Chinese Medicine informatics - Provides theory and practical examples and case studies of new techniques
Multiword Expressions Acquisition
Author: Carlos Ramisch
Publisher: Springer
Published: 2014-09-24
Total Pages: 233
ISBN-13: 3319092073
DOWNLOAD EBOOKThis book is an excellent introduction to multiword expressions. It provides a unique, comprehensive and up-to-date overview of this exciting topic in computational linguistics. The first part describes the diversity and richness of multiword expressions, including many examples in several languages. These constructions are not only complex and arbitrary, but also much more frequent than one would guess, making them a real nightmare for natural language processing applications. The second part introduces a new generic framework for automatic acquisition of multiword expressions from texts. Furthermore, it describes the accompanying free software tool, the mwetoolkit, which comes in handy when looking for expressions in texts (regardless of the language). Evaluation is greatly emphasized, underlining the fact that results depend on parameters like corpus size, language, MWE type, etc. The last part contains solid experimental results and evaluates the mwetoolkit, demonstrating its usefulness for computer-assisted lexicography and machine translation. This is the first book to cover the whole pipeline of multiword expression acquisition in a single volume. It is addresses the needs of students and researchers in computational and theoretical linguistics, cognitive sciences, artificial intelligence and computer science. Its good balance between computational and linguistic views make it the perfect starting point for anyone interested in multiword expressions, language and text processing in general.
Global Health Informatics
Author: Heimar Marin
Publisher: Academic Press
Published: 2016-12-08
Total Pages: 317
ISBN-13: 0128046171
DOWNLOAD EBOOKGlobal Health Informatics: How Information Technology Can Change Our Lives in a Globalized World discusses the critical role of information and communication technologies in health practice, health systems management and research in increasingly interconnected societies. In a global interconnected world the old standalone institutional information systems have proved to be inadequate for patient-centered care provided by multiple providers, for the early detection and response to emerging and re-emerging diseases, and to guide population-oriented public health interventions. The book reviews pertinent aspects and successful current experiences related to standards for health information systems; digital systems as a support for decision making, diagnosis and therapy; professional and client education and training; health systems operation; and intergovernmental collaboration. - Discusses how standalone systems can compromise health care in globalized world - Provides information on how information and communication technologies (ICT) can support diagnose, treatment, and prevention of emerging and re-emerging diseases - Presents case studies about integrated information and how and why to share data can facilitate governance and strategies to improve life conditions
Computerizing Large Integrated Health Networks
Author: Robert M. Kolodner
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 461
ISBN-13: 1461206553
DOWNLOAD EBOOKThis book has been a long time in the making. The computerization activi ties described in these pages began in 1977 at the Department of Veterans Affairs (VA), but we devoted most of our focus and efforts to building and then implementing the extensive hospital information system known as the Decentralized Hospital Computer System (DHCP) throughout VA. Deliv ering the product has been our primary goal. We spent relatively little time documenting or describing our experiences or lessons learned. Except for some presentations at national meetings and a relatively few publications, almost none of which were in the standard trade journals read by Chief Information Officers (CIOs) and equivalent top managers in the private and nonprofit sectors, VA's accomplishments remained a well-kept secret. In 1988, Helly Orthner encouraged VA staff to consider writing a book, but the press of day-to-day activities always seemed to take precedence, and the book languished on the back burner.
