Non-Fiction Books:

Machine Learning in Medicine

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Paperback / softback
$134.99
RRP:
$158.95 save $23.96
Available from supplier

The item is brand new and in-stock with one of our preferred suppliers. The item will ship from a Mighty Ape warehouse within the timeframe shown.

Usually ships in 3-4 weeks

Buy Now, Pay Later with:

4 payments of $33.75 with Afterpay Learn more

Availability

Delivering to:

Estimated arrival:

  • Around 1-11 July using International Courier

Description

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.
Release date Australia
February 8th, 2015
Audience
  • Professional & Vocational
Illustrations
44 Illustrations, black and white; XV, 265 p. 44 illus.
Pages
265
Dimensions
155x235x15
ISBN-13
9789400793637
Product ID
23806193

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

Filed under...