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Article

Evolution of artificial neural network architecture: prediction of depression after mania.

Methods of information in medicine - 1 Sept 1998

Jefferson M F, Pendleton N, Lucas C P, Lucas S B, Horan M A

Abstract excerpt

Artificial neural networks (ANNs) are compared to standard statistical methods for outcome prediction in biomedical problems. A general method for using genetic algorithms to "evolve" ANN architecture (EANN) is presented. Accuracy of logistic regression, a fully interconnected ANN, and an EANN for predicting depression after mania are examined. All methods showed very good agreement (training set accuracy,...

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PMID: 9787620

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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