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A Systematic Exploration of Which Digital Biomarkers are the Most Accurate to Detect Depressive Episodes in Bipolar Disorder
Ortiz, Abigail
Halabi, Ramzi
Tolend, Mirkamal
Gonzalez-Torres, Christina
Blumberger, Daniel M.
Husain, Ishrat
O’Donovan, Claire
Hintze, Arend
Dalarna University, School of Information and Engineering, Computing.
ORCID iD:
0000-0002-4872-1961
Alda, Martin
Mulsant, Benoit
Show others and affiliations
2025 (English)
In:
Bipolar Disorders, ISSN 1398-5647, E-ISSN 1399-5618, Vol. 27, no supp. 1, p. S147-S147
Article in journal, Meeting abstract (Refereed) Published
Place, publisher, year, edition, pages
WILEY , 2025. Vol. 27, no supp. 1, p. S147-S147
National Category
Psychiatry
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URN:
urn:nbn:se:du-51641
ISI:
001578710100128
OAI: oai:DiVA.org:du-51641
DiVA, id:
diva2:2010771
Available from:
2025-11-03
Created:
2025-11-03
Last updated:
2025-11-03
Bibliographically approved
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Hintze, Arend
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ieee
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chicago-note-bibliography
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de-DE
en-GB
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