AI Medical Compendium Journal:
Psychiatric services (Washington, D.C.)

Showing 1 to 4 of 4 articles

Machine Learning-Based Evaluation of Suicide Risk Assessment in Crisis Counseling Calls.

Psychiatric services (Washington, D.C.)
OBJECTIVE: Counselor assessment of suicide risk is one key component of crisis counseling, and standards require risk assessment in every crisis counseling conversation. Efforts to increase risk assessment frequency are limited by quality improvement...

Predicting Outcomes of Antidepressant Treatment in Community Practice Settings.

Psychiatric services (Washington, D.C.)
OBJECTIVE: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications.

Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

Psychiatric services (Washington, D.C.)
An unprecedented amount of clinical information is now available via electronic health records (EHRs). These massive data sets have stimulated opportunities to adapt computational approaches to track and identify target areas for quality improvement ...