Evidence map›Paper›PMID 30349627›Full record

ArticleOnline journal of public health informatics2018

Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case.

Mike Conway, Danielle Mowery, Amy Ising, Sumithra Velupillai, Son Doan, Julia Gunn, Michael Donovan, Caleb Wiedeman, Lance Ballester, Karl Soetebier and 2 more

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2018. 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

12 authors.

Mike ConwayDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Danielle MoweryDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Amy IsingDepartment of Emergency Medicine, University of North Carolina Chapel Hill, North Carolina, United States.
Sumithra VelupillaiInstitute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
Son DoanMedical Informatics, Kaiser Permanente Southern California, San Diego, California, United States.
Julia GunnBoston Public Health Commission Boston, Massachusetts, United States.
Michael DonovanBoston Public Health Commission Boston, Massachusetts, United States.
Caleb WiedemanTennessee Department of Health, Nashville, Tennessee, United States.
Lance BallesterGeorgia Department of Public Health, Atlanta, Georgia, United States.
Karl SoetebierGeorgia Department of Public Health, Atlanta, Georgia, United States.
Catherine TongInternational Society for Disease Surveillance, Brighton, Massachusetts, United States.
Howard BurkomApplied Physics Laboratory, Johns Hopkins University, Baltimore, Maryland, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a continuing initiative of the International Society for Disease Surveillance designed to bring together public health practitioners and analytics solution developers from both academia and industry. Funded by the Defense Threat Reduction Agency, a series of consultancies have been conducted on a range of topics of pressing concern to public health (e.g. developing methods to enhance prediction of asthma exacerbation, developing tools for asyndromic surveillance from chief complaints). The topic of this final consultancy, conducted at the University of Utah in January 2017, is focused on defining a roadmap for the development of algorithms, tools, and datasets for improving the capabilities of text processing algorithms to identify negated terms (i.e.

Indexed as

chief complaintsnatural language processingnegation detectionsyndromic surveillance

Identifiers

PMID30349627
PMCPMC6194092

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.