Outcome Prediction in Cancer is popular PDF and ePub book, written by Azzam F.G. Taktak in 2006-11-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Outcome Prediction in Cancer can be Read Online from any device for your convenience.

Outcome Prediction in Cancer Book PDF Summary

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. * Applications cover 8 types of cancer including brain, eye, mouth, head and neck, breast, lungs, colon and prostate* Include contributions from authors in 5 different disciplines* Provides a valuable educational tool for medical informatics

Detail Book of Outcome Prediction in Cancer PDF

Outcome Prediction in Cancer
  • Author : Azzam F.G. Taktak
  • Release : 28 November 2006
  • Publisher : Elsevier
  • ISBN : 9780080468037
  • Genre : Computers
  • Total Page : 483 pages
  • Language : English
  • PDF File Size : 12,6 Mb

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