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Information Discovery on Electronic Health Records
Hardcover: 311 pages
Chapman & Hall
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Exploiting the rich information found in electronic health records (EHRs) can facilitate 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.
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 EHR 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 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 is also included.
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.
Vagelis Hristidis is an assistant professor in the School of Computing and Information Sciences at Florida International University in Miami.
Table of Contents
About the Editor xv
1 Overview of XML Fernando Farfán Vagelis Hristidis 1
2 Electronic Health Records Fernando Farfán Ramakrishna Varadarajan Vagelis Hristidis 17
3 Overview of Information Discovery Techniques on EHRs Vagelis Hristidis 41
4 Data Quality and Integration Issues in Electronic Health Records Ricardo João Cruz-Correia Pedro Pereira Rodrigues Alberto Freitas Filipa Canario Almeida Rong Chen Altamiro Costa-Pereira 55
5 Ethical, Legal, and Social Issues for EHR Data Protection Reid Cushman 97
6 Searching Electronic Health Records Ramakrishna Varadarajan Vagelis Hristidis Fernando Farfán Redmond Burke 127
7 Data Mining and Knowledge Discovery on EHRs Donald J. Berndt Monica Chiarini Tremblay Stephen L. Luther 165
8 Privacy-Preserving Information Discovery on EHRs Li Xiong James Gardner Pawel Jurczyk James J. Lu 197
9 Real-Time and Mobile Physiological Data Analysis Daniele Apiletti Elena Baralis Giulia Bruno Tania Cerquitelli Alessandro Fiori 227
10 Medical Image Segmentation Xiaolei Huang Gavriil Tsechpenakis 251
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