Patient perspectives on acceptability of, and implementation preferences for, use of electronic health records and machine learning to identify suicide risk

Patient Feedback on the Use of Predictive Analytics for Suicide Prevention

(2020) Mark A. Reger et al.   PSYCHIATRIC SERVICES

The REDCap consortium: Building an international community of software platform partners

(2019) Paul A. Harris et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records

(2018) Gregory E. Simon et al.   AMERICAN JOURNAL OF PSYCHIATRY

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

(2018) Colin G. Walsh et al.   JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY

Integrating Predictive Modeling Into Mental Health Care: An Example in Suicide Prevention

(2018) Greg M. Reger et al.   PSYCHIATRIC SERVICES

Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.

(2017) Joseph C. Franklin et al.   PSYCHOLOGICAL BULLETIN

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

(2016) R C Kessler et al.   MOLECULAR PSYCHIATRY

Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing

(2016) Thomas H. McCoy et al.   JAMA Psychiatry

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

(2015) Ronald C. Kessler et al.   JAMA Psychiatry

Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support

(2008) Paul A. Harris et al.   JOURNAL OF BIOMEDICAL INFORMATICS