Medicine and Healthnpj Mental Health Research
Predicting state level suicide fatalities in the united states with realtime data and machine learning
D. Patel, S. A. Sumner, et al.
Discover a groundbreaking deep learning approach to predict weekly suicide counts at the state level in the US, utilizing social media, online, and health data. This innovative study conducted by Devashru Patel, Steven A. Sumner, and others reveals the model's superior accuracy in estimating state-specific suicide rates, offering valuable insights for suicide prevention efforts.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Psychology
Implicit pattern learning predicts individual differences in belief in God in the United States and Afghanistan
A. B. Weinberger, N. M. Gallagher, et al.
Computer Science
On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning
J. Giner-miguelez, A. Gómez, et al.
Medicine and Health
Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer
Y. Iwatate, I. Hoshino, et al.
Environmental Studies and Forestry
Demographics and risk of isolation due to sea level rise in the United States
K. Best, Q. He, et al.
