
Last Posted: Apr 17, 2024
- Predicting state level suicide fatalities in the united states with realtime data and machine learning.
Devashru Patel et al. Npj Ment Health Res 2024 3(1) 3 - Susceptibility to Treatment-Resistant Depression Within Families.
Chih-Ming Cheng et al. JAMA Psychiatry 2024 4 - Artificial Intelligence and the National Violent Death Reporting System: A Rapid Review.
Lisa C Lindley et al. Comput Inform Nurs 2024 - Validation of a Multivariable Model to Predict Suicide Attempt in a Mental Health Intake Sample.
Santiago Papini et al. JAMA Psychiatry 2024 - Analysis and evaluation of explainable artificial intelligence on suicide risk assessment.
Hao Tang et al. Sci Rep 2024 14(1) 6163 - Machine learning and the prediction of suicide in psychiatric populations: a systematic review.
Alessandro Pigoni et al. Transl Psychiatry 2024 14(1) 140 - Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource.
Jingsong Luo et al. Psychol Res Behav Manag 2024 17691-703 - Monitoring Mental Health: Legal and Ethical Considerations of Using Artificial Intelligence in Psychiatric Wards.
Barry Solaiman et al. Am J Law Med 2024 49(2-3) 250-266 - Predicting suicide death after emergency department visits with mental health or self-harm diagnoses.
Gregory E Simon et al. Gen Hosp Psychiatry 2024 8713-19 - Prediction models of suicide and non-fatal suicide attempt after discharge from a psychiatric inpatient stay: A machine learning approach on nationwide Danish registers.
Sara Dorthea Nielsen et al. Acta Psychiatr Scand 2023 148(6) 525-537
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.