Big Data Analytics in Bipolar Disorder

Big data is a broad term used to denote large volumes of complex measurements with high velocity and variety. As opposed to traditional statistical methods, big data analytics powered by machine learning allow predictions and stratification of clinical outcomes at the level of an individual subject. We believe, therefore, that new statistical tools and technologies from the field of machine learning will be critical for anyone practicing medicine, psychiatry, and behavioral sciences in the 21st century.

The goals of this Task Force will show how these big data techniques:

Will give clinicians a broad perspective about how clinical decisions such as selection of treatment options, preventive strategies, prognosis orientations, and conversion to bipolar disorder can be changed by big data approach;
Will address clinical heterogeneity and help to build more consistent clinical phenotypes of bipolar disorder;
Will empower researchers with a different way to conceptualize studies in BD by using big data analytics approach. In addition, we also aim to discuss challenges in terms of what data could be used without jeopardizing individual privacy and freedom and the limitations of big data analytics.

Leads

Smiling bald man in a dark suit and white shirt seated at a desk with a laptop in an office setting.

Ives Calalcante Passos,
Brazil

Flavio Kapczinski,
Brazil

Members of Task Force

Martin Alda, Canada

Gerard Anmella, Spain

Pedro Ballester, Canada

Australian flag: blue field with Union Jack in the canton, a large white Commonwealth Star, and the Southern Cross constellation of white stars on the right.

Michael Berk, Australia

Boris Birmaher, USA

Elisa Brietzke, Canada

Anne Duffy, Canada

Maria Faurholt-Jepsen, Denmark

Tina Goldstein, USA

Benno Haarman, The Netherlands

Danella Hafeman, USA

Tomas Hajek, Canada

Diego Hidalgo-Mazzei, Spain

Erkki Isometsa, Spain

Lars Vedel Kessing, Denmark

Raymond Lam, Canada

Flag of Colombia: three horizontal stripes—yellow top half, blue middle, red bottom.

Carlos Lopez Jaramillo, Colombia

Mojtaba Lotfaliany, Australia

Rodrigo Mansur, Canada

Roger McIntyre, Canada

Sandra Meier, Canada

Luciano Minuzzi, Canada

Benson Mwangi, USA

Eduard Vieta, Spain

Lakshmi Yatham, Canada

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Aline Zimerman, Brazil

Task Force Updates

Publications:

2022

Anmella G, Faurholt-Jepsen M, Hidalgo-Mazzei D, et al. Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force. Bipolar Disord. 2022;24:580-614.

2019

Passos IC, Ballester PL, Barros RC, et al. Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force. Bipolar Disord. 2019;21:582–594.