Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864
Source: Journal of Clinical Psychiatry - Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research
More News: Canada Health | Celexa | Citalopram | Depression | Learning | Lexapro | Psychiatry | Psychology | Study | Universities & Medical Training