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Improving Suicide Prediction using NLP-Extracted Social Determinants of Health

Award Number: R01MH125027
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2020
PERIOD OF PERFORMANCE END DATE: 06/30/2025

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Improving Suicide Prediction using NLP-Extracted Social Determinants of Health - Improving Suicide Prediction using NLP-Extracted Social Determinants of Health Suicide is among the leading causes of death worldwide and among United States Veterans in particular. Current methods of risk assessment are limited in their ability to accurately identify patients who are at the highest risk of suicide. The overarching goal of this proposal is to strengthen suicide prediction efforts by gaining a more granular understanding of the association between social determinants of health and suicide risk. Social determinants of health (SDH) refer to the conditions in which people are born, live, work, and age. A number of SDH are known risk factors for suicide. While SDH could be obtained from the structured EHR data, their scope is limited. A recent study has shown that EHR notes contain about 90 times more information about SDH than the structured data. To address this gap, we propose a stepwise approach that leverages the power of EHR and new computational methdologies to explore associations between natural language processing extracted SDH and suicide ideation, attempt and death. This approach is critical to the development of next- generation suicide prevention tools.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2023	UNIVERSITY OF MASSACHUSETTS LOWELL	220 PAWTUCKET ST STE 400	LOWELL	MA	01854	MIDDLESEX	USA	Mental Health Research Grants	000	4	11/25/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2023 ( Subtotal = $728,836 )
2023	2023	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 212	LOWELL	MA	01854	MIDDLESEX	USA	Mental Health Research Grants	000	4	6/20/2023	NON-COMPETING CONTINUATION	$728,836
														Subtotal = $728,836

Issue Date FY: 2022 ( Subtotal = $740,228 )
2022	2022	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 415	LOWELL	MA	01854	MIDDLESEX	USA	Mental Health Research Grants	000	3	6/30/2022	NON-COMPETING CONTINUATION	$740,228
														Subtotal = $740,228

Issue Date FY: 2021 ( Subtotal = $763,334 )
2021	2021	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 415	LOWELL	MA	01854	MIDDLESEX	USA	Mental Health Research Grants	000	2	6/14/2021	NON-COMPETING CONTINUATION	$763,334
														Subtotal = $763,334

Issue Date FY: 2020 ( Subtotal = $841,366 )
2020	2020	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 415	LOWELL	MA	01854	MIDDLESEX	USA	Mental Health Research Grants	000	1	9/1/2020	NEW	$841,366
														Subtotal = $841,366

Grand Total All Awards = $3,073,764

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Improving Suicide Prediction using NLP-Extracted Social Determinants of Health

Award Number: R01MH125027

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/01/2020

PERIOD OF PERFORMANCE END DATE: 06/30/2025

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