Using artificial intelligence to identify drowning risk and protective factors present in media reports in metropolitan Houston, Texas

NLP is a novel method of extracting information on drowning risk and protective factors from media report narratives. This can be used to study the epidemiology of drowning.

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Publication Details

Journal
Injury Prevention
Published
2026-03-03
DOI
https://doi.org/10.1136/ip-2025-046010
Primary Topic
Injury Epidemiology and Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Using artificial intelligence to identify drowning risk and protective factors present in media reports in metropolitan Houston, Texas

Rohit P Shenoi, Shaila Zaman, Aedan C Villegas
Injury Prevention
Injury Epidemiology and Prevention
article

Using artificial intelligence to identify drowning risk and protective factors present in media reports in metropolitan Houston, Texas

Rohit P Shenoi, Shaila Zaman, Aedan C Villegas
article en

Abstract

NLP is a novel method of extracting information on drowning risk and protective factors from media report narratives. This can be used to study the epidemiology of drowning.

Injury Prevention
Texas Children's Hospital (US), University of Houston (US)
Centers for Disease Control and Prevention
Openalex Percentile: Top 40%
Injury Epidemiology and Prevention
DOIOpen Access PDFOpenAlex
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Using artificial intelligence to identify drowning risk and protective factors present in media reports in metropolitan Houston, Texas — Rohit P Shenoi, Shaila Zaman, et al. · Injury Prevention (2026) | TGRS Research Map | TGRS