Work

Clinical Characterization and Prediction of Bipolar Disorder Evolution

Year: 2025

Type: article

Abstract: Background: This paper addresses the possibility of replacing subjective evaluations of mental disorders with analytical tools based on large data provided by wearable sensors in combination with subsequent complexity mesoscale data projection using constitutive mathematical frameworks. Methods: The presented methods are based on the combination of a complexity/fractal approach and stochastic optimization, yielding Digital Mental Biomarkers (DMBs). Results: Analytic indexing can effectively augment the Young Mania Rating Scale, DSM-5 criteria, or structured interview diagnostics. The analytical approach allows us to carry out a prediction of mental disorder evolution as well as a subsequent probability characterization of BD episode progression over time. Conclusions: The presented analytical framework presents a semicontinuous diagnostic tool in the area of mental disorders, specifically applicable to bipolar disorder with corresponding manic episode indexing.

Source: Journal of Clinical Medicine

DOI: 10.3390/jcm14072159

Authors: Petr Kloucek, Armin von Gunten, Sylfa Fassassi

Institutions: Hôpital de Cery, Centre Hospitalier Universitaire Vaudois

Language: English

Topic: Bipolar Disorder and Treatment

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,137