Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force

Ives C. Passos, Pedro L. Ballester, Rodrigo C. Barros, Diego Librenza-Garcia, Benson Mwangi, Boris Birmaher, Elisa Brietzke, Tomas Hajek, Carlos Lopez Jaramillo, Rodrigo B. Mansur, Martin Alda, Bartholomeus C. M. Haarman, Erkki Isometsa, Raymond W. Lam, Roger S. McIntyre, Luciano Minuzzi, Lars V. Kessing, Lakshmi N. Yatham, Anne Duffy, Flavio Kapczinski

Research output: Contribution to journalReview ArticleScientificpeer-review

Original languageEnglish
JournalBipolar Disorders
Volume21
Issue number7
Pages (from-to)582-594
Number of pages13
ISSN1398-5647
DOIs
Publication statusPublished - Nov 2019
MoE publication typeA2 Review article in a scientific journal

Fields of Science

  • big data
  • bipolar disorder
  • data mining
  • deep learning
  • machine learning
  • personalized psychiatry
  • predictive psychiatry
  • risk prediction
  • MOOD DISORDERS
  • PREDICTING SUICIDALITY
  • LITHIUM RESPONSE
  • RISK
  • DEPRESSION
  • SCHIZOPHRENIA
  • ASSOCIATION
  • CLASSIFICATION
  • SYMPTOMS
  • NEUROPROGRESSION
  • 3112 Neurosciences
  • 3124 Neurology and psychiatry

Cite this

Passos, I. C., Ballester, P. L., Barros, R. C., Librenza-Garcia, D., Mwangi, B., Birmaher, B., ... Kapczinski, F. (2019). Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force. Bipolar Disorders, 21(7), 582-594. https://doi.org/10.1111/bdi.12828
Passos, Ives C. ; Ballester, Pedro L. ; Barros, Rodrigo C. ; Librenza-Garcia, Diego ; Mwangi, Benson ; Birmaher, Boris ; Brietzke, Elisa ; Hajek, Tomas ; Lopez Jaramillo, Carlos ; Mansur, Rodrigo B. ; Alda, Martin ; Haarman, Bartholomeus C. M. ; Isometsa, Erkki ; Lam, Raymond W. ; McIntyre, Roger S. ; Minuzzi, Luciano ; Kessing, Lars V. ; Yatham, Lakshmi N. ; Duffy, Anne ; Kapczinski, Flavio. / Machine learning and big data analytics in bipolar disorder : A position paper from the International Society for Bipolar Disorders Big Data Task Force. In: Bipolar Disorders. 2019 ; Vol. 21, No. 7. pp. 582-594.
@article{cdbde6b09d464a90902f12ba78471878,
title = "Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force",
keywords = "big data, bipolar disorder, data mining, deep learning, machine learning, personalized psychiatry, predictive psychiatry, risk prediction, MOOD DISORDERS, PREDICTING SUICIDALITY, LITHIUM RESPONSE, RISK, DEPRESSION, SCHIZOPHRENIA, ASSOCIATION, CLASSIFICATION, SYMPTOMS, NEUROPROGRESSION, 3112 Neurosciences, 3124 Neurology and psychiatry",
author = "Passos, {Ives C.} and Ballester, {Pedro L.} and Barros, {Rodrigo C.} and Diego Librenza-Garcia and Benson Mwangi and Boris Birmaher and Elisa Brietzke and Tomas Hajek and {Lopez Jaramillo}, Carlos and Mansur, {Rodrigo B.} and Martin Alda and Haarman, {Bartholomeus C. M.} and Erkki Isometsa and Lam, {Raymond W.} and McIntyre, {Roger S.} and Luciano Minuzzi and Kessing, {Lars V.} and Yatham, {Lakshmi N.} and Anne Duffy and Flavio Kapczinski",
year = "2019",
month = "11",
doi = "10.1111/bdi.12828",
language = "English",
volume = "21",
pages = "582--594",
journal = "Bipolar Disorders",
issn = "1398-5647",
publisher = "Wiley",
number = "7",

}

Passos, IC, Ballester, PL, Barros, RC, Librenza-Garcia, D, Mwangi, B, Birmaher, B, Brietzke, E, Hajek, T, Lopez Jaramillo, C, Mansur, RB, Alda, M, Haarman, BCM, Isometsa, E, Lam, RW, McIntyre, RS, Minuzzi, L, Kessing, LV, Yatham, LN, Duffy, A & Kapczinski, F 2019, 'Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force', Bipolar Disorders, vol. 21, no. 7, pp. 582-594. https://doi.org/10.1111/bdi.12828

Machine learning and big data analytics in bipolar disorder : A position paper from the International Society for Bipolar Disorders Big Data Task Force. / Passos, Ives C.; Ballester, Pedro L.; Barros, Rodrigo C.; Librenza-Garcia, Diego; Mwangi, Benson; Birmaher, Boris; Brietzke, Elisa; Hajek, Tomas; Lopez Jaramillo, Carlos; Mansur, Rodrigo B.; Alda, Martin; Haarman, Bartholomeus C. M.; Isometsa, Erkki; Lam, Raymond W.; McIntyre, Roger S.; Minuzzi, Luciano; Kessing, Lars V.; Yatham, Lakshmi N.; Duffy, Anne; Kapczinski, Flavio.

In: Bipolar Disorders, Vol. 21, No. 7, 11.2019, p. 582-594.

Research output: Contribution to journalReview ArticleScientificpeer-review

TY - JOUR

T1 - Machine learning and big data analytics in bipolar disorder

T2 - A position paper from the International Society for Bipolar Disorders Big Data Task Force

AU - Passos, Ives C.

AU - Ballester, Pedro L.

AU - Barros, Rodrigo C.

AU - Librenza-Garcia, Diego

AU - Mwangi, Benson

AU - Birmaher, Boris

AU - Brietzke, Elisa

AU - Hajek, Tomas

AU - Lopez Jaramillo, Carlos

AU - Mansur, Rodrigo B.

AU - Alda, Martin

AU - Haarman, Bartholomeus C. M.

AU - Isometsa, Erkki

AU - Lam, Raymond W.

AU - McIntyre, Roger S.

AU - Minuzzi, Luciano

AU - Kessing, Lars V.

AU - Yatham, Lakshmi N.

AU - Duffy, Anne

AU - Kapczinski, Flavio

PY - 2019/11

Y1 - 2019/11

KW - big data

KW - bipolar disorder

KW - data mining

KW - deep learning

KW - machine learning

KW - personalized psychiatry

KW - predictive psychiatry

KW - risk prediction

KW - MOOD DISORDERS

KW - PREDICTING SUICIDALITY

KW - LITHIUM RESPONSE

KW - RISK

KW - DEPRESSION

KW - SCHIZOPHRENIA

KW - ASSOCIATION

KW - CLASSIFICATION

KW - SYMPTOMS

KW - NEUROPROGRESSION

KW - 3112 Neurosciences

KW - 3124 Neurology and psychiatry

U2 - 10.1111/bdi.12828

DO - 10.1111/bdi.12828

M3 - Review Article

VL - 21

SP - 582

EP - 594

JO - Bipolar Disorders

JF - Bipolar Disorders

SN - 1398-5647

IS - 7

ER -