A new approach to medical diagnosis

A new approach to medical diagnosis

The diagnostic usefulness of artificial neural networks (ANNs) is explored by means of an integrated system for medical diagnosis. The models were developed by using the unsupervized self organizing feature maps algorithm. Clinical and laboratory data for training and testing the ANNs was collected...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Schizas, C.N., Pattichis, C.S., Middleton, L.T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Diseases
Genetics
Laboratories
Medical diagnosis
Muscles
Neuromuscular
Protocols
Spinal cord
Testing
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Beschreibung
Zusammenfassung:The diagnostic usefulness of artificial neural networks (ANNs) is explored by means of an integrated system for medical diagnosis. The models were developed by using the unsupervized self organizing feature maps algorithm. Clinical and laboratory data for training and testing the ANNs was collected from 71 subjects by applying examination protocols that were developed by experts in the appropriate fields. The diagnostic yield obtained by the examined models was in the region of 80 to 90%.< >
DOI:10.1109/IBED.1992.247114