Data Mining

Information Discovery on Electronic Health Records (Chapman by Vagelis Hristidis PDF

By Vagelis Hristidis

ISBN-10: 1420090380

ISBN-13: 9781420090383

Exploiting the wealthy details present in digital well-being documents (EHRs) can facilitate greater scientific examine and increase the standard of scientific perform. previously, a trivial volume of analysis has been released at the demanding situations of leveraging this data. Addressing those demanding situations, Information Discovery on digital healthiness Records explores the expertise to unharness the information saved in EHRs.



Assembling a very interdisciplinary crew of specialists, the publication tackles clinical privateness matters, the inability of standardization for the illustration of EHRs, lacking or mistaken values, and the provision of a number of wealthy future health ontologies. It appears to be like at tips on how to seek the EHR assortment given a consumer question and go back proper fragments from the EHRs. It additionally explains tips to mine the EHR assortment to extract attention-grabbing styles, workforce entities to varied sessions, or come to a decision even if an EHR satisfies a given estate. lots of the e-book specializes in textual or numeric information of EHRs, the place extra looking out and mining development has happened. A bankruptcy at the processing of scientific photographs can also be included.



Maintaining a uniform sort throughout chapters and minimizing technical jargon, this booklet offers some of the how one can extract worthwhile wisdom from EHRs. It skillfully discusses how EHR info should be successfully searched and mined.

Show description

Read or Download Information Discovery on Electronic Health Records (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) PDF

Best data mining books

Get Statistical Modeling and Analysis for Database Marketing: PDF

This professional compilation offers a suite of winning database advertising methodologies for large information. It deals ideas to universal difficulties within the database advertising undefined, concentrating on the wishes of information analysts and knowledge miners. The quantitative recommendations defined marry conventional statistical methodologies with new computer studying equipment.

Download e-book for iPad: Oracle Business Intelligence 11g Developers Guide (Database by Mark Rittman

Grasp Oracle company Intelligence 11g experiences and Dashboards carry significant enterprise info to clients every time, at any place, on any machine, utilizing Oracle enterprise Intelligence 11g. Written through Oracle ACE Director Mark Rittman, Oracle company Intelligence 11g builders consultant absolutely covers the most recent BI record layout and distribution strategies.

New PDF release: Persuasive Recommender Systems: Conceptual Background and

No matter if clients tend to settle for the techniques supplied by way of a recommender procedure is of maximum value to procedure designers and the dealers who enforce them. through conceptualizing the recommendation looking and giving dating as a essentially social method, very important avenues for realizing the persuasiveness of recommender platforms open up.

Using Open Data to Detect Organized Crime Threats: Factors by Henrik Legind Larsen,José María Blanco,Raquel Pastor PDF

This paintings presents an leading edge examine using open facts for extracting details to observe and forestall crime, and likewise explores the hyperlink among terrorism and arranged crime. In counter-terrorism and different kinds of crime prevention, foresight approximately power threats is very important and this data is more and more to be had through digital information resources equivalent to social media communications.

Extra info for Information Discovery on Electronic Health Records (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Example text

Download PDF sample

Information Discovery on Electronic Health Records (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Vagelis Hristidis


by Michael
4.3

Rated 4.71 of 5 – based on 31 votes