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Estimating probabilities of diabetes mellitus using neural networks.

Authors
  • Shanker, M
  • Hu, M Y
  • Hung, M S
Type
Published Article
Journal
SAR and QSAR in environmental research
Publication Date
Jan 01, 2000
Volume
11
Issue
2
Pages
133–147
Identifiers
PMID: 10877474
Source
Medline
License
Unknown

Abstract

Classification problems are often encountered in medical diagnosis. This paper presents an introduction to classification theory and shows how artificial neural networks can be used for classification. We also map out a bootstrapped procedure for interval estimation of posterior probabilities. The entire procedure is illustrated using the diabetes mellitus data in Pima Indians.

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