ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2024
A Traumatic Brain Injury Prescreening Tool for Intimate Partner Violence Patients Using Initial Clinical Reports and Machine Learning.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in intimate partner violence risk pathways: a PRISMA-ScR review of femicide prevention and medico-legal accountability.Frontiers in digital health · 2026Pooled it
- AI-Enabled First-Response Support After Sexual and Gender-Based Violence: A PRISMA-ScR Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research studies have presented an unappreciated relationship between intimate partner violence (IPV) survivors and symptoms of traumatic brain injuries (TBI). Within these IPV survivors, resulting TBIs are not always identified during emergency room visits. This demonstrates a need for a prescreening tool that identifies IPV survivors who should receive TBI screening. We present a model that measures similarities to clinical reports for confirmed TBI cases to identify whether a patient should be screened for TBI. This is done through an ensemble of three supervised learning classifiers which work in two distinct feature spaces. Individual classifiers are trained on clinical reports and then used to create an ensemble that needs only one positive label to indicate a patient should be screened for TBI.
Identifiers
38827106PMC11141795What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.