Evidence map›Paper›PMID 38269709›Full record

ArticleStudies in health technology and informatics2024

A Reproducible Model Based on Clinical Text for Predicting Suicidal Behavior.

Jihad S Obeid, Athanasios Tsalatsanis, Chaitanya Chaphalkar, Sara Robinson, Sierra Klein, Sarah Cool, Elizabeth Szwast, Brian E Bunnell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Studies in health technology and informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jihad S ObeidMedical University of South Carolina, Charleston, SC, USA.
Athanasios TsalatsanisUniversity of South Florida, Tampa, FL, USA.
Chaitanya ChaphalkarUniversity of South Florida, Tampa, FL, USA.
Sara RobinsonUniversity of South Florida, Tampa, FL, USA.
Sierra KleinUniversity of South Florida, Tampa, FL, USA.
Sarah CoolUniversity of South Florida, Tampa, FL, USA.
Elizabeth SzwastMedical University of South Carolina, Charleston, SC, USA.
Brian E BunnellUniversity of South Florida, Tampa, FL, USA.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI LEE M PACHTER · 2013 to 2026
$60.5M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Leveraging deep learning and clinical notes for surveillance and prediction of intentional self-harm and suicideR56MH124744 · NIMH · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI OBEID, JIHAD S · 2021 to 2021
$552k
NCATS NIH HHS UL1 TR001450NIGMS NIH HHS U54 GM104941NIMH NIH HHS R56 MH124744
6 · The paper itself

Abstract

Suicide risk models are critical for prioritizing patients for intervention. We demonstrate a reproducible approach for training text classifiers to identify patients at risk. The models were effective in phenotyping suicidal behavior (F1=.94) and moderately effective in predicting future events (F1=.63).

Indexed as

Suicidal IdeationForecastingHumansModels, Theoreticalmachine learningreproducibilitySuicidal behaviortext classification

Identifiers

PMID38269709
PMCPMC12900053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.