logo
ResearchBunny Logo
Machine learning based suicide prediction and development of suicide vulnerability index for US counties

Medicine and Health

Machine learning based suicide prediction and development of suicide vulnerability index for US counties

V. Kumar, K. K. Sznajder, et al.

Discover groundbreaking insights from Vishnu Kumar, Kristin K. Sznajder, and Soundar Kumar as they explore alarming suicide trends across the US. Their innovative machine learning model boasts an impressive R² of 0.98 and identifies critical socioeconomic factors, paving the way for an essential Suicide Vulnerability Index (SVI) aimed at enhancing targeted prevention efforts.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms
Medicine and Health

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms

P. Amiri, M. Montazeri, et al.

Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections
Medicine and Health

Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections

J. Yang, D. W. Eyre, et al.

Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students
Education

Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students

X. Xu, J. Liu, et al.

Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model
Medicine and Health

Machine learning-based prediction of in-hospital death for patients with takotsubo syndrome: The InterTAK-ML model

O. D. Filippo, V. L. Cammann, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny