Funded Project Details - FY2021
|Title:|| Can suicide theory-guided natural language processing of clinical progress notes improve existing prediction models of Veteran suicide mortality?|
Alexander H. Sox-Harris
||Palo Alto, CA
|Congressional District Code:
||Health Services R&D
|| June 2021 -
|FY 2021 Funding Amount:
|Total Award Amount
View full abstract and other project information on NIH RePORTER
Go To NIH RePORTER
Background: Reducing suicide and suicide attempts among U.S. Veterans is a major national priority, as more than 6,000 Veterans die by suicide every year and many more attempt suicide. In 2017, the most recent year for which data are available, the suicide rate among Veterans was 1.5 times the rate of non-Veterans, and the suicide rate among female Veterans was 2.2 times the rate of non-Veteran females. Current VHA suicide risk prediction models suffer from high numbers of false negatives - Vete...
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