How well do clinical and demographic characteristics predict Patient Health Questionnaire ‐9 scores among patients with treatment‐resistant major depressive disorder in a real‐world setting?
ConclusionsWhile there is room for improvement in its accuracy, the use of a machine learning tool that predicts depression symptom severity of patients with TRD can potentially have wide population ‐level applications. Healthcare systems and payers can build upon this groundwork and use the variables identified and the predictive modeling approach to create an algorithm specific to their population.
Source: Brain and Behavior - Category: Neurology Authors: Jennifer Voelker,
Kruti Joshi,
Ella Daly,
Eros Papademetriou,
David Rotter,
John J. Sheehan,
Harsh Kuvadia,
Xing Liu,
Anandaroop Dasgupta,
Ravi Potluri Tags: ORIGINAL RESEARCH Source Type: research
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