Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases

Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases

Electronic Health Records (EHRs) hold symptoms of many diverse diseases and it is imperative to build models to recognise these problems early and classify the diseases appropriately. This classification task could be presented as a single or multi-label problem. Thus, this study presents Psychotic...

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Bibliographic Details
Main Authors: Israel Elujide, Stephen G. Fashoto, Bunmi Fashoto, Elliot Mbunge, Sakinat O. Folorunso, Jeremiah O. Olamijuwon
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Deep neural networks
Deep learning class imbalance
Mental disorder multi-label classification
Psychotic disorder disease
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821000356

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http://www.sciencedirect.com/science/article/pii/S2352914821000356

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