Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches

By sjmartinez • July 22, 2023

Edgcomb JB, Tseng CH, Pan M, Klomhaus A, Zima BT. Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches. JMIR Ment Health. 2023 Jul 21;10:e47084. doi: 10.2196/47084. PMID: 37477974.

Tags: child mental health, General Internal Medicine, machine learning, phenotyping, Publications, self-harm, Statistics Core, suicide

Perioperative Best Practices and Delirium in Patients With Cognitive Impairment

Scharp D, Meyers K, Nadkarni G, Federman A, Sarkisian C, Levin MA, Perry S, Gownivaripally P, Egorova NN, Ouyang Y, Hofer I, Vacas S. Perioperative[...]

Use of Untrained Interpreters in the Inpatient Setting: What Does the Record Show?

Linares M, Novoa-Laurentiev J, Chaitoff A, Jiang N, Ma Y, Fernández L, Zhou L. Use of Untrained Interpreters in the Inpatient Setting: What Does the[...]

Correction: Reaching Veterans Most in Need: Evaluating Engagement in a National Telephone Lifestyle Coaching Program for Veterans

Clair K, Bean-Mayberry B, Chanfreau C, Hurley S, Pear E, Goldstein MG, Kim J, Raffa SD, Moin T, Finley EP, Hamilton A, Farmer MM. Correction:[...]