Evidence map›Paper›PMID 39466373›Full record

ArticleHealth informatics journal

Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis.

Alissa Hutto, Tarek M Zikry, Buck Bohac, Terra Rose, Jasmine Staebler, Janet Slay, C Ray Cheever, Michael R Kosorok, Rebekah P Nash

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health informatics journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025
    Pooled it
  2. Review
  3. 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

9 authors.

Alissa HuttoDepartment of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Tarek M ZikryDepartment of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.ORCID 0000-0003-3360-249X
Buck BohacNorth Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Terra RoseDepartment of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Jasmine StaeblerDepartment of Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Janet SlayDepartment of Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
C Ray CheeverUniversity of North Carolina School of Medicine, Chapel Hill, NC, USA.
Michael R KosorokDepartment of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Rebekah P NashDepartment of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA.

Funding

Biopsychosocial Risk Factors for Psychiatric Disorders Following Kidney TransplantationK23MH128613 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Rebekah Potts Nash · 2022 to 2026
$1.0M
Deep learning models to predict primitive streak formation in human developmentF31HL156464 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZIKRY, TAREK · 2021 to 2024
$156k
NHLBI NIH HHS F31 HL156464NIMH NIH HHS K23 MH128613
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Electronic Health RecordsNatural Language ProcessingDepressionHumansMental DisordersSubstance-Related Disordersmachine learningmental healthnatural language processingpsychiatry

Identifiers

PMID39466373
PMCPMC11657637

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.