Researchers are working to identify warning signs for suicide for young children using complex algorithms. This study by Edgecomb and colleagues used algorithms to identify suicide risk in youth using info in their medical chart not related to suicide http
RT @medical_xpress: Researchers develop machine learning models that could improve suicide-risk prediction among #children https://t.co/kIu…
Desarrollan modelos de aprendizaje automático que podrían mejorar la predicción del riesgo de suicidio entre niños y adolescentes. #IA #SaludMental https://t.co/62ZoeUV3rT
Researchers develop machine learning models that could improve suicide-risk prediction among #children https://t.co/kIudbO3Ww7 https://t.co/nIJAqgyQhF
RT @jmirpub: JMIR Mental Health: Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable…
JMIR Mental Health: Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping #Approaches https://t.co/03QrfAuIBO https://t.co/Y40tLqaKSk