Outcome Prediction in Cancer
Anthony C Fisher editor Azzam FG Taktak editor
Format:Hardback
Publisher:Elsevier Science & Technology
Published:28th Nov '06
Currently unavailable, and unfortunately no date known when it will be back
A multi-disciplinary book addressing the question of outcome prediction in cancer addressing topics on clinical medicine, mathematics, biology, and bioinformatics.
Organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. This work describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. It discusses a number of machine learning methods which have been applied to decision support in cancer.This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web.
ISBN: 9780444528551
Dimensions: unknown
Weight: 1010g
482 pages