Placeholder text

Machine Learning in Medicine

Product Image: Machine Learning in Medicine

Machine Learning in Medicine

0 - Default Title
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.
Product details
Edition:
1
Number of Pages:
284
Release Date:
2013-02-27
Publication Date:
2013-02-27
Publisher:
Springer
Languages:
Original: English
ISBN10:
9400758235
ISBN13:
9789400758230
GPSR Manufacturer Reference:
Weight:
594 g
Height:
160 cm
Width:
241 cm
Thickness:
20 cm
Currently sold out