Using digital phenotyping to classify bipolar disorder and unipolar disorder – exploratory findings using machine learning models

Author:

Faurholt-Jepsen Maria,Rohani Darius Adam,Busk Jonas,Tønning Morten Lindberg,Frost Mads,Bardram Jakob Eyvind,Kessing Lars VedelORCID

Publisher

Elsevier BV

Reference28 articles.

1. Designing mobile health technology for bipolar disorder: a field trial of the monarca system;Bardram,2013

2. [Assessment of mood disorders by passive data gathering: the concept of digital phenotype versus psychiatrist's professional culture];Bourla;L'Encephale,2018

3. Random Forests;Breiman;Mach. Learn.,2001

4. Predictors of bipolar disorder risk among patients currently treated for major depression;Calabrese;MedGenMed,2006

5. Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders;Ebner-Priemer;Int. J. Bipolar Disord.,2020

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