Risk Factor Fusion for Predicting Multifactorial Diseases

Abstract

A generalized classification methodology which employs risk factor fusion, normalization, DKLT based transformation, feature selection, and parametric classifier design is developed to predict the presence or absence of a multifactorial disease. The validity of method is demonstrated by applying it to predict the occurrence of gout in patients.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411117

Entities

People

  • J. K. Dorsey
  • James Phegley
  • Kyle Perkins
  • Lalit Gupta

Organizations

  • Southern Illinois University Carbondale

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acids
  • Arthritis
  • Classification
  • Connective Tissue Diseases
  • Data Fusion
  • Data Sets
  • Diseases And Disorders
  • Engineering
  • Feature Selection
  • Machine Learning
  • Medical Personnel
  • Pattern Recognition
  • Risk Factors
  • Test Sets
  • Uric Acid

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.