The role of cognitive functions in the diagnosis of bipolar disorder: A machine learning model.

Autor: Sonkurt HO; Department of Psychiatry, Ağrı City Hospital, Ağrı, Turkey., Altınöz AE; Department of Psychiatry, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir, Turkey. Electronic address: aaltinoz@ogu.edu.tr., Çimen E; Computational Intelligence and Optimization Laboratory, Department of Industrial Engineering, Eskisehir Technical University, Eskisehir, Turkey., Köşger F; Department of Psychiatry, Faculty of Medicine, Eskişehir Osmangazi University, Eskişehir, Turkey., Öztürk G; Computational Intelligence and Optimization Laboratory, Department of Industrial Engineering, Eskisehir Technical University, Eskisehir, Turkey.
Jazyk: angličtina
Zdroj: International journal of medical informatics [Int J Med Inform] 2021 Jan; Vol. 145, pp. 104311. Date of Electronic Publication: 2020 Nov 03.
DOI: 10.1016/j.ijmedinf.2020.104311
Abstrakt: Background: Considering the clinical heterogeneity of the bipolar disorder, difficulties are encountered in making the correct diagnosis. Although a number of common findings have been found in studies on the neurocognitive profile of bipolar disorder, the search for a neurocognitive endophenotype has failed. The aim of this study is to separate bipolar disorder patients from healthy controls with higher accuracy by using a broader neurocognitive evaluation and a novel machine-learning algorithm.
Methods: Individuals who presented to the Bipolar Outpatient Clinic of the Medical Faculty of Eskişehir Osmangazi University and met the inclusion criteria of the research are included in the study. Six neurocognitive tests from the CANTAB test battery were used for neurocognitive evaluation, Polyhedral Conic Functions algorithm was used to classify the participants.
Results: Bipolar disorder patients differentiated from healthy controls with an accuracy of 78 %.
Discussion: Our study presents a prediction algorithm that separates bipolar disorder from healthy controls with high accuracy by using CANTAB neurocognitive battery.
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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