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
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Produktdetaljer
ISBN
9780444528551
Publisert
2010
Utgiver
Vendor
Elsevier Science
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter