Article, 2024

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

EUROPEAN NEUROPSYCHOPHARMACOLOGY, ISSN 0924-977X, Volume 81, Pages 12-19, 10.1016/j.euroneuro.2024.01.003

Contributors

Faurholt-Jepsen, Maria 0000-0002-0462-6444 (Corresponding author) [1] [2] [3] Rohani, Darius A. 0000-0003-2529-3818 [4] Busk, Jonas [5] Tonning, Morten Lindberg [2] Frost, Mads [6] Bardram, Jakob 0000-0003-1390-8758 [5] Kessing, L. V. 0000-0001-9377-9436 [2] [3]

Affiliations

  1. [1] Copenhagen Affect Disorder Res Ctr CAD, Psychiat Ctr Copenhagen, Hovedvejen 17,Floor 1, DK-2000 Frederiksberg, Denmark
    2. [NORA names: Miscellaneous; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Copenhagen Affect Disorder Res Ctr CADIC, Psychiat Ctr Copenhagen, Frederiksberg, Denmark
    3. [NORA names: Miscellaneous; Denmark; Europe, EU; Nordic; OECD];
  3. [3] Univ Copenhagen, Fac & Hlth & Med Sci, Dept Clin Med, Copenhagen, Denmark
    4. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  4. [4] Kuatro Grp Aps, Nannasgade 28, Copenhagen, Denmark
    5. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Tech Univ Denmark, Dept Energy Convers & Storage, Lyngby, Denmark
    6. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];

Abstract

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Keywords

Bipolar disorder, Digital phenotyping, Smartphone, Unipolar disorder

Data Provider: Clarivate

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