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](https://asset.jmir.pub/assets/1fa355fb65a4e843559d0e032196d183.png 480w,https://asset.jmir.pub/assets/1fa355fb65a4e843559d0e032196d183.png 960w,https://asset.jmir.pub/assets/1fa355fb65a4e843559d0e032196d183.png 1920w,https://asset.jmir.pub/assets/1fa355fb65a4e843559d0e032196d183.png 2500w)
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- Pisanu C, Vitali E, Meloni A, Congiu D, Severino G, Ardau R, Chillotti C, Trabucchi L, Bortolomasi M, Gennarelli M, Minelli A, Squassina A. Investigating the Role of Leukocyte Telomere Length in Treatment-Resistant Depression and in Response to Electroconvulsive Therapy. Journal of Personalized Medicine 2021;11(11):1100 View
- Pigoni A, Delvecchio G, Turtulici N, Madonna D, Pietrini P, Cecchetti L, Brambilla P. Machine learning and the prediction of suicide in psychiatric populations: a systematic review. Translational Psychiatry 2024;14(1) View