BIBLIOGRAPHIC RECORD
Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study
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- Recorded authors
- Anastasiya Nestsiarovich; Praveen Kumar; Nicolas Raymond Lauve; Nathaniel G Hurwitz; Aurélien J Mazurie; Daniel C Cannon; Yiliang Zhu; Stuart James Nelson; Annette S Crisanti; Berit Kerner; Mauricio Tohen; Douglas J Perkins; Christophe Gerard Lambert
- Source of metadata
- Crossref
- Year recorded
- 2021
Public identifiers and source
Open the source recordReference
Anastasiya Nestsiarovich; Praveen Kumar; Nicolas Raymond Lauve; Nathaniel G Hurwitz; Aurélien J Mazurie; Daniel C Cannon; Yiliang Zhu; Stuart James Nelson; Annette S Crisanti; Berit Kerner; Mauricio Tohen; Douglas J Perkins; Christophe Gerard Lambert. (2021). Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study. https://doi.org/10.2196/24522
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Permanent record URL: https://brain.psiconautica.org/en/documentos/d-157a51373d6266c242fe1eb7f069f731/