Hristidis Information Discovery on Electronic Health Records

1. Auflage 2010
ISBN: 978-1-4200-9041-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 331 Seiten

Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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.

Zielgruppe

Computer scientists, medical informaticians, computer science and medical students, and medical and statistical researchers.

Autoren/Hrsg.

Hristidis, Vagelis

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Overview of XML, Fernando Farfán and Vagelis Hristidis

Electronic Health Records (EHRs), Fernando Farfán, Ramakrishna Varadarajan, and Vagelis Hristidis

Overview of Information Discovery Techniques on EHRs, Vagelis Hristidis

Data Quality and Integration Issues in EHRs, 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 EHRs, 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

Über Autor(innen)

Vagelis Hristidis is an assistant professor in the School of Computing and Information Sciences at Florida International University in Miami.