Outcome Prediction in Cancer Books

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Outcome Prediction in Cancer


Outcome Prediction in Cancer
  • Author : Azzam F.G. Taktak
  • Publisher : Elsevier
  • Release : 2006-11-28
  • ISBN : 0080468039
  • Language : En, Es, Fr & De
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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

Comprehensive Evaluation Composite Gene Features in Cancer Outcome Prediction


Comprehensive Evaluation Composite Gene Features in Cancer Outcome Prediction
  • Author : Dezhi Hou
  • Publisher :
  • Release : 2014
  • ISBN : OCLC:1164806431
  • Language : En, Es, Fr & De
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There have been extensive studies of classification and prediction of cancer outcome with composite gene features that combine functionally related genes together as a single feature to improve the classification and prediction accuracy. Various algorithms have been proposed for feature extraction, feature activity inference, and feature selection, which all claim to improve the prediction accuracy. However, due to the limited test data sets used by each independent study, inconsistent test procedures, and conflicting results, it is difficult to obtain a comprehensive understanding of the relative performances of these algorithms. In this study, various algorithms for the three steps in using composite features for cancer outcome prediction were implemented and an extensive comparison and evaluation were performed by applying testing to seven microarray data sets covering two cancer types and three different clinical outcomes. Also by integrating algorithms in all three different steps, we aimed to investigate how to get the best cancer prediction by using different combinations of these techniques.

In Search of Improved Outcome Prediction of Prostate Cancer a Biological and Clinical Approach


In Search of Improved Outcome Prediction of Prostate Cancer   a Biological and Clinical Approach
  • Author : Andrew M. Erickson
  • Publisher :
  • Release : 2018
  • ISBN : 951514213X
  • Language : En, Es, Fr & De
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Artificial Intelligence in Medicine


Artificial Intelligence in Medicine
  • Author : David Riaño
  • Publisher : Springer
  • Release : 2019-06-19
  • ISBN : 9783030216429
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Journal of the National Cancer Institute


Journal of the National Cancer Institute
  • Author :
  • Publisher :
  • Release : 2006
  • ISBN : OSU:32435079332656
  • Language : En, Es, Fr & De
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