Outcome Prediction in Cancer one of the 50 books to read promoted by Elsevier in date 2006-11-28 is represented for you if you want book about Computers / Bioinformatics, Medical / Oncology, . one of the 50 books to read authored by Azzam F.G. Taktak, Anthony C. Fisher, with page count 482 Pages. you can found book description at the bottom
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ISBN: 9780080468037
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 rĂ´le 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
Outcome Prediction in Cancer
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