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Outcome Prediction in Cancer.

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A multi-disciplinary book addressing the question of outcome prediction in cancer addressing topics on clinical medicine, mathematics, biology, and bioinformatics.

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Taktak, Azzam F. G.
Other Authors: Fisher, Anthony C.
Format: eBook
Language:English
Published: Burlington : Elsevier, 2007.
Table of Contents:
  • Front cover
  • OUTCOME PREDICTION IN CANCER
  • Copyright page
  • Foreword
  • Contents
  • Contributors
  • Introduction
  • Section 1: The Clinical Problem
  • Chapter 1: The Predictive Value of Detailed Histological Staging of Surgical Resection Specimens in Oral Cancer
  • Chapter 2: Survival after Treatment of Intraocular Melanoma
  • Chapter 3: Recent Developments in Relative Survival Analysis
  • Section 2: Biological and Genetic Factors
  • Chapter 4: Environmental and Genetic Risk Factors of Lung Cancer.
  • Chapter 5: Chaos, Cancer, the Cellular Operating System and the Prediction of Survival in Head and Neck Cancer
  • Section 3: Mathematical Background of Prognostic Models
  • Chapter 6: Flexible Hazard Modelling for Outcome Prediction in Cancer: Perspectives for the Use of Bioinformatics Knowledge
  • Chapter 7: Information Geometry for Survival Analysis and Feature Selection by Neural Networks
  • Chapter 8: Artificial Neural Networks Used in the Survival Analysis of Breast Cancer Patients: A Node-Negative Study
  • Section 4: Application of Machine Learning Methods.
  • Chapter 9: The Use of Artificial Neural Networks for the Diagnosis and Estimation of Prognosis in Cancer Patients
  • Chapter 10: Machine Learning Contribution to Solve Prognostic Medical Problems
  • Chapter 11: Classification of Brain Tumours by Pattern Recognition of Magnetic Resonance Imaging and Spectroscopic Data
  • Chapter 12: Towards Automatic Risk Analysis for Hereditary Non-Polyposis Colorectal Cancer Based on Pedigree Data
  • Chapter 13: The Impact of Microarray Technology in Brain Cancer
  • Section 5: Dissemination of Information.
  • Chapter 14: The Web and the New Generation of Medical Information Systems
  • Chapter 15: Geoconda: A Web Environment for Multi-Centre Research
  • Chapter 16: The Development and Execution of Medical Prediction Models
  • Subject Index.

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