Skip to Main Content
Handbook of Statistical Analysis and Data Mining Applications
book

Handbook of Statistical Analysis and Data Mining Applications

by Robert Nisbet, John Elder, Gary Miner
May 2009
Beginner to intermediate content levelBeginner to intermediate
864 pages
23h 13m
English
Elsevier Science
Content preview from Handbook of Statistical Analysis and Data Mining Applications
Chapter 14

Medical Informatics

OUTLINE

Preamble

The first general application area we will explore is medical informatics. The reason for treating it first is that in no other discipline has statistical and data mining applications been applied for a longer time, and it is an area in which analytical results can have such profound effects in both positive and negative directions. We will consider what medical informatics is and how data mining and text mining are related to medical informatics and 3D medical information. We will also discuss some journals and associations in medical informatics and look at ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

R Data Mining

R Data Mining

Enrico Pegoraro, Andrea Cirillo
Data Mining and Machine Learning Applications

Data Mining and Machine Learning Applications

Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
R: Predictive Analysis

R: Predictive Analysis

Tony Fischetti, Eric Mayor, Rui Miguel Forte
Predictive Analytics and Data Mining

Predictive Analytics and Data Mining

Vijay Kotu, Bala Deshpande

Publisher Resources

ISBN: 9780080912035