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Louise Reader

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Description
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
Pages
482 pages
Collection
n.c
Parution
2006-11-28
Marque
Elsevier Science
EAN papier
9780444528551
EAN PDF
9780080468037

Informations sur l'ebook
Nombre pages copiables
48
Nombre pages imprimables
48
Taille du fichier
8929 Ko
Prix
124,49 €
EAN EPUB SANS DRM
9780080468037

Prix
124,49 €

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