Chapter 3. Biomarker-Based Prediction Models: Design and Interpretation Principles

  1. Dr Francisco Azuaje Senior Member Associate Editor

Published Online: 14 JAN 2010

DOI: 10.1002/9780470686423.ch3

Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine

Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine

How to Cite

Azuaje, F. (2010) Biomarker-Based Prediction Models: Design and Interpretation Principles, in Bioinformatics and Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470686423.ch3

Author Information

  1. Public Research Centre for Health (CRP-Santé), Luxembourg

Publication History

  1. Published Online: 14 JAN 2010
  2. Published Print: 19 FEB 2010

ISBN Information

Print ISBN: 9780470744604

Online ISBN: 9780470686423

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Keywords:

  • biomarkers;
  • diagnosis;
  • prognosis;
  • biomedical data mining;
  • machine learning

Summary

This chapter reviews key problems, approaches and applications of data mining for biomarker discovery research. The processes of biomarker discovery and prediction model development are introduced in the context of data mining and machine learning. The chapter provides introductions to data sampling, and further discusses techniques for estimating the classification or predictive performance quality of biomarker models. The main phases in a typical biomarker data mining framework are described. Different techniques for implementing diagnostic and prognostic systems are introduced. For example: decision trees, support vector machines and instance-based learning techniques. Feature selection problems and techniques are introduced. These reviews also put emphasis on the discussion of the relative strengths and weaknesses of the techniques. Critical design and interpretation factors, together with guidelines for addressing drawbacks and pitfalls, are provided. The chapter ends with additional recommendations for evaluating applications, selecting techniques and interpreting outcomes