Article
The impact of machine learning techniques in the study of bipolar disorder: A systematic review.
Neuroscience and biobehavioral reviews - 1 Sept 2017
Librenza-Garcia Diego, Kotzian Bruno Jaskulski, Yang Jessica, Mwangi Benson, Cao Bo, Pereira Lima Luiza Nunes, Bermudez Mariane Bagatin, Boeira Manuela Vianna, Kapczinski Flávio, Passos Ives Cavalcante
Abstract excerpt
Machine learning techniques provide new methods to predict diagnosis and clinical outcomes at an individual level. We aim to review the existing literature on the use of machine learning techniques in the assessment of subjects with bipolar disorder. We systematically searched PubMed, Embase and Web of Science for articles published in any language up to January 2017. We found 757 abstracts and included 51...
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