The Leading eBooks Store Online
for your Apple or Android device, Nook, Kobo, PC, Mac, Sony Reader...
Information Discovery on Electronic Health Records
Add to cart
US$ 89.95
(+ tax)
Preview (read now)
Add to my own site
Buy multiple copies
Give this ebook to a friend
Add to my wishlist
Author's page
Publisher's page
Devices
- iPad
- PC
- e-readers with Adobe Digital Editions installed
- Mac
See the full list
Available Devices
X
This book is available for the following devices:
- iPad
- Windows
- Mac
- Sony Reader
- Cool-er Reader
- Nook
- Kobo Reader
- iRiver Story
File Formats
Download: PDF.
You can also read this book online in eb20 format without having to download anything.
You can also read this book online in eb20 format without having to download anything.
Permissions
Printing
Copy/Paste
Read Aloud
Printing
Copy/Paste
Read Aloud
more
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.