From real-world experience to precision prescribing of antidepressants: a machine-learning analysis of clinicians' treatment choices.
This study examined whether psychiatrists' routine prescribing decisions could be used to identify practice-grounded patterns supporting precision-oriented treatment selection, and found that similarity-based models may provide a more conceptually coherent approach.