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In Bipolar disorders

Mental disorders are highly prevalent, heterogeneous conditions comorbid with multiple chronic physical illnesses, remaining the leading cause of disability worldwide.1 Its diagnosis and management are limited by the absence of available biomarkers and have largely been dependent on patient's subjective self-reporting obtained at periodic clinician's evaluation that are frequently influenced by recall bias, decreased illness insight, and differences in clinical assessment experience.2 In-person visits are poorly suited for the diagnosis and treatment of mental illnesses, yielding only cross-sectional measurements of continuous, fluctuating parameters such as mood/emotions, cognition, sleep, blood pressure, and physical/social activities. Also, no continuous monitoring of those subtle features is usually possible between visits.

Dargél Aroldo A

2020-Sep-29

Algorithms, Artificial Intelligence, Cyber-Semiology, Digital Music, Digital Phenotyping, Digital Psychiatry, Machine Learning, Mobile apps, Smartphone sensors, mHealth