Evidence map›Paper›PMID 32704245›Full record

ArticleCEUR workshop proceedings2019

An Ontology-Powered Dialogue Engine For Patient Communication of Vaccines.

Muhammad Amith, Rebecca Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts, Cui Tao

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in CEUR workshop proceedings, 2019. 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
0.3field-weighted citation impact, top 33% of its field
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, 3 citations in OpenAlex.

  1. The Use of Chatbots in Oncological Care: A Narrative Review.International journal of general medicine · 2023
    Review
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 at 4 institutions in 1 country.

Muhammad AmithThe University of Texas Health Science Center at Houston, Houston, TX 77030.
Rebecca LinJohns Hopkins University, Baltimore, MD.
Licong CuiThe University of Texas Health Science Center at Houston, Houston, TX 77030.
Dennis WangThe University of Texas, Austin, TX.
Anna ZhuSouthern Methodist University, Dallas, TX.
Grace XiongThe University of Texas, Austin, TX.
Hua XuThe University of Texas Health Science Center at Houston, Houston, TX 77030.
Kirk RobertsThe University of Texas Health Science Center at Houston, Houston, TX 77030.
Cui TaoThe University of Texas Health Science Center at Houston, Houston, TX 77030.
The University of Texas Health Science Center at Houston · USThe University of Texas at Austin · USJohns Hopkins University · USSouthern Methodist University · US

Funding

Dynamic learning for post-vaccine event prediction using temporal information in VAERSR01AI130460 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, YONG, TAO, CUI · 2017 to 2021
$3.4M
Patient Medical History Representation, Extraction, and Inference from EHR DataR01LM011829 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TAO, CUI · 2014 to 2018
$1.7M
Natural Language Question Understanding for Electronic Health RecordsR00LM012104 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROBERTS, KIRK EDWARD · 2016 to 2018
$747k
NIAID NIH HHS R01 AI130460NLM NIH HHS R00 LM012104NLM NIH HHS R01 LM011829
6 · The paper itself

Abstract

In this study, we introduce an ontology-driven software engine to provide dialogue interaction functionality for a conversational agent for HPV vaccine counseling. Currently, the HPV vaccination rates are low that risks unprotected individuals at being infected with HPV, a virus that leads to life-threatening cancers. In addition, we developed a question answering subsystem to support the dialogue engine. In this paper, we discuss our design and development of an ontology-driven dialogue engine that uses the Patient Health Information Dialogue Ontology, an ontology that we previously developed, and a question answering subsystem based on various previous methods to supplement the dialogue engine's interaction with the user. Our next step is to test the functional ability of the ontology-driven software components and deploy the engine in a live environment to be integrated with a speech interface.

Indexed as

Conversational AgentDialogue ManagementOntologyQuestion AnsweringVaccines

Identifiers

PMID32704245
PMCPMC7376741
OpenAlexW2971353747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.