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A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

Crossref DOI link: https://doi.org/10.1038/s41398-020-01181-x

Published Online: 2021-01-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Tomasik, Jakub https://orcid.org/0000-0002-2127-4487
Han, Sung Yeon Sarah

Barton-Owen, Giles

Mirea, Dan-Mircea

Martin-Key, Nayra A.

Rustogi, Nitin

Lago, Santiago G. https://orcid.org/0000-0002-3276-430X
Olmert, Tony https://orcid.org/0000-0003-4641-6442
Cooper, Jason D.

Ozcan, Sureyya https://orcid.org/0000-0002-9371-3696
Eljasz, Pawel

Thomas, Grégoire https://orcid.org/0000-0002-6247-9438
Tuytten, Robin https://orcid.org/0000-0002-8734-7335
Metcalfe, Tim

Schei, Thea S. https://orcid.org/0000-0002-0063-9707
Farrag, Lynn P.

Friend, Lauren V.

Bell, Emily

Cowell, Dan

Bahn, Sabine
Funding

Funding for this research was provided by:

Stanley Medical Research Institute (07R-1888)
License Information

Text and Data Mining valid from 2021-01-12

Version of Record valid from 2021-01-12
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Article History

Received: 19 August 2020

Revised: 14 December 2020

Accepted: 15 December 2020

First Online: 12 January 2021

Conflict of interest

: S.B. is a director of Psynova Neurotech Ltd and Psyomics Ltd. S.B., D.C., G.B.O., L.P.F. and E.B. have financial interests in Psyomics Ltd. S.B., P.E. and T.O. have received payments from the University of Cambridge for licensing of data from the Delta Study. All other authors declare no competing interests.

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