Evidence map›Paper›PMID 24551392›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Semantic annotation of clinical events for generating a problem list.

Danielle L Mowery, Pamela Jordan, Janyce Wiebe, Henk Harkema, John Dowling, Wendy W Chapman

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. A Systematic Temporal Extraction Pipeline for Medical Concepts in Clinical Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  2. Article
  3. Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  4. Article
  5. Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  6. Article
  7. Review
  8. Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    Article
  9. An integrated billing application to streamline clinician workflow.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    Article
  10. 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

6 authors.

Danielle L MoweryUniversity of Pittsburgh, Pittsburgh, PA;
Pamela JordanUniversity of Pittsburgh, Pittsburgh, PA;
Janyce WiebeUniversity of Pittsburgh, Pittsburgh, PA;
Henk HarkemaUniversity of Pittsburgh, Pittsburgh, PA;
John DowlingUniversity of Pittsburgh, Pittsburgh, PA;
Wendy W ChapmanUniversity of California, San Diego, La Jolla, CA.

Funding

The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
NLP Foundational Studies & Ontologies for Syndromic Surveillance from ED ReportsR01LM009427 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAPMAN, WENDY W. · 2007 to 2009
$1.4M
NLM NIH HHS 5T15LM007059NLM NIH HHS R01 LM009427NLM NIH HHS R01LM009427NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

We present a pilot study of an annotation schema representing problems and their attributes, along with their relationship to temporal modifiers. We evaluated the ability for humans to annotate clinical reports using the schema and assessed the contribution of semantic annotations in determining the status of a problem mention as active, inactive, proposed, resolved, negated, or other. Our hypothesis is that the schema captures semantic information useful for generating an accurate problem list. Clinical named entities such as reference events, time points, time durations, aspectual phase, ordering words and their relationships including modifications and ordering relations can be annotated by humans with low to moderate recall. Once identified, most attributes can be annotated with low to moderate agreement. Some attributes - Experiencer, Existence, and Certainty - are more informative than other attributes - Intermittency and Generalized/Conditional - for predicting a problem mention's status. Support vector machine outperformed Naïve Bayes and Decision Tree for predicting a problem's status.

Indexed as

Electronic Health RecordsNatural Language ProcessingHumansInformation Storage and RetrievalPilot ProjectsSemantics

Identifiers

PMID24551392
PMCPMC3900128

What OpenQuestion holds

Textmetadata
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.