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" Information discovery on electronic health records / "
edited by Vagelis Hristidis.
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BL
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| Record Number
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1008691
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b763061
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| Title & Author
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Information discovery on electronic health records /\ edited by Vagelis Hristidis.
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| Publication Statement
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Boca Raton :: Taylor & Francis,, ©2010.
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| Series Statement
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Chapman & Hall/CRC data mining and knowledge discovery series
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| Page. NO
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1 online resource (xviii, 313 pages) :: illustrations
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| ISBN
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1420090380
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: 1420090410
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: 9781420090383
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: 9781420090413
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9781420090383
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Overview of XML / Fernando Farfán and Vagelis Hristidis.-- Electronic Health Records / Fernando Farfán, Ramakrishna Varadarajan, and Vagelis Hristidis.-- Overview of Information Discovery Techniques on EHRs / Vagelis Hristidis.-- Data Quality and Integration Issues in Electronic Health Records / Ricardo João Cruz-Correia, Pedro Pereira Rodrigues, Alberto Freitas, Filipa Canario Almeida, Rong Chen, and Altamiro Costa-Pereira.-- Ethical, Legal, and Social Issues for EHR Data Protection / Reid Cushman.-- Searching Electronic Health Records / Ramakrishna Varadarajan, Vagelis Hristidis, Fernando Farfán, and Redmond Burke.-- Data Mining and Knowledge Discovery on EHRs / Donald J. Berndt, Monica Chiarini Tremblay, and Stephen L. Luther.-- Privacy-Preserving Information Discovery on EHRs / Li Xiong, James Gardner, Pawel Jurczyk, and James J. Lu.-- Real-Time and Mobile Physiological Data Analysis / Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli, and Alessandro Fiori.-- Medical Image Segmentation / Xiaolei Huang and Gavriil Tsechpenakis.
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| Abstract
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Exploiting the rich information found in electronic health records (EHRs) can faciliate better medical research and improve the quality of medical practice. Until now, a trivial amount of research has been published on the challenges of leveraging this information. Addressing these challenges, Information Discovery on electronic Health Records explores the technology to unleash the data stored in EHRs.
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Addresses social and medical issues, including the privacy of health records, health ontologies, EHR standards and systems, and medical image segmentation.
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Assembling a truly interdisciplinary team of experts, the book tackles medical privacy concerns, the lack of standardization for the representation of EHRs, missing or incorrect values, and the availability of multiple rich health ontologies. It looks at how to search the HER collection given a user query and return relevant fragments from the EHRs. It also explains how to mine the EHR collection to extract interesting patterns, group entities to various classes, or decide whether an EHR collection to extract interesting patterns, group entities to various classes, or decide whether an EHR satisfies a given property. Most of the book focuses on textual or numeric data of EHRs, where more searching and mining progress has occurred. A chapter on the processing of medical images also included.
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Covers information technology-related topics, such as database, data mining, and information retrieval.
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Discusses past work in the field a swell as cutting-edge research and future directions.
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Maintaining a uniform style across chapters and minimizing technical jargon, this book presents the various ways to extract useful knowledge from EHRs. It skillfully discusses how EHR data can be effectively searched and mined.
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| Subject
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Data mining.
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Medical records-- Data processing.
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Data mining.
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Medical records-- Data processing.
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MEDICAL-- Allied Health Services-- Medical Technology.
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MEDICAL-- Biotechnology.
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MEDICAL-- Family General Practice.
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MEDICAL-- Lasers in Medicine.
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TECHNOLOGY ENGINEERING-- Biomedical.
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Electronic Health Records.
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Confidentiality.
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Data Mining.
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| Dewey Classification
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610.285
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| LC Classification
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R864.I53 2010eb
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| NLM classification
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2010 A-878
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WX 173I43 2010
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| Added Entry
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Hristidis, Vagelis.
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