Machine learning-based mortality risk assessment in first-episode bipolar disorder: a transdiagnostic external validation study

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Publication Details

Journal
EClinicalMedicine
Published
2025-02-13
DOI
https://doi.org/10.1016/j.eclinm.2025.103108
Citations
8
Primary Topic
Bipolar Disorder and Treatment
Type
article
Field-Weighted Citation Impact
11.77

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article

Machine learning-based mortality risk assessment in first-episode bipolar disorder: a transdiagnostic external validation study

Stefan Leucht, Alexander Kautzky, Ellenor Mittendorfer‐Rutz, Christoph Ulrich Correll et al.
8 citations
EClinicalMedicine
Bipolar Disorder and Treatment
11.77
article

Machine learning-based mortality risk assessment in first-episode bipolar disorder: a transdiagnostic external validation study

Stefan Leucht, Alexander Kautzky, Ellenor Mittendorfer‐Rutz, Christoph Ulrich Correll, Aemal Akhtar, Heidi T. Taipale, Jari Tiihonen, Antti O. Tanskanen, Johannes Lieslehto, Markku Lähteenvuo, Bergný Ármannsdóttir
article en
8 citations

Abstract

No abstract available for this paper.
EClinicalMedicineVol. 81
Northwell Health (US), University of Helsinki (FI), University of Eastern Finland (FI), Niuvanniemi Hospital (FI), Stockholm County Council (SE), Karolinska Institutet (SE), Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US), Finland University (FI), Institute for Molecular Medicine Finland (FI), Zucker Hillside Hospital (US), Technical University of Munich (DE), Charité - Universitätsmedizin Berlin (DE)
Suomen Lääketieteen Säätiö, Terveyden Tutkimuksen Toimikunta
Good health and well-being
Openalex Percentile: Top 1%
Bipolar Disorder and Treatment
11.77
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Machine learning-based mortality risk assessment in first-episode bipolar disorder: a transdiagnostic external validation study — Stefan Leucht, Alexander Kautzky, et al. · EClinicalMedicine (2025) | TGRS Research Map | TGRS