Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate... Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA network open Pubmed

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.


Abstract

Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making.

Loading next page...
 
/lp/pubmed/development-of-a-machine-learning-model-using-multiple-heterogeneous-jJZV5eDDlf
ISSN
2574-3805
eISSN
2574-3805
DOI
10.1001/jamanetworkopen.2020.30932
pmid
33355678

Abstract

Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making.

Journal

JAMA network openPubmed

Published: Jan 28, 2021

References