Published on in Vol 8, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24522, first published .
Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

Anastasiya Nestsiarovich 1, MD, PhD;  Praveen Kumar 2, MSc;  Nicolas Raymond Lauve 2, BSc;  Nathaniel G Hurwitz 3, MD;  Aurélien J Mazurie 4, PhD;  Daniel C Cannon 5, MS;  Yiliang Zhu 6, PhD;  Stuart James Nelson 7, MD;  Annette S Crisanti 8, PhD;  Berit Kerner 9, MD;  Mauricio Tohen 8, MD, DrPH, MBA;  Douglas J Perkins 1, PhD;  Christophe Gerard Lambert 1, 10, PhD

1 Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, US

2 Department of Computer Science, The University of New Mexico , Albuquerque, NM, US

3 New Mexico Behavioral Health Institute , Las Vegas, NM, US

4 TwoFoldChange Consulting , Bozeman, MT, US

5 Iterative Consulting , Albuquerque, NM, US

6 Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, The University of New Mexico Health Sciences Center, Albuquerque, NM, US

7 Biomedical Informatics Center, George Washington University , Washington, DC, DC, US

8 Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center , Albuquerque, NM, US

9 Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, US

10 Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, US

Corresponding Author:

  • Christophe Gerard Lambert, PhD
  • Center for Global Health
  • Department of Internal Medicine
  • University of New Mexico Health Sciences Center
  • 915 Camino de Salud NE
  • Albuquerque, NM
  • US
  • Phone: 1 5052729709
  • Email: cglambert@unm.edu