title: Use of neural networks in medical diagnosis.
abstract: In recent years artificial neural networks have been popular both as a subject for research and as application tools in various domains. In this study, use of a neural network in the prediction of diagnostic probabilities is proposed. When the diagnostic probabilities of insulin-dependent diabetes mellitus were predicted both by linear regression and by a neural network in an empirical experiment, the predictions of the neural network were more accurate than those of linear regression. These results suggest that the use of a neural network should be considered whenever prediction of diagnosis is required.
authors.affiliation: College of Management, School of Business Administration, Tel Aviv, Israel.
authors.forename: A
authors.initials: A
authors.lastname: Armoni
mesh_terms: D001499:Bayes Theorem; D003922:Diabetes Mellitus, Type 1 / Q000175:diagnosis; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D015233:Models, Statistical; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D011336:Probability; D012044:Regression Analysis