ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
A Semantic-based Approach for Exploring Consumer Health Questions Using UMLS.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Amplifying Domain Expertise in Clinical Data Pipelines.JMIR medical informatics · 2020Article
- Web-based Interactive Visualization of Non-Lattice Subgraphs (WINS) in SNOMED CT.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Exploring patient information needs in type 2 diabetes: A cross sectional study of questions.PloS one · 2018Article
- Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers.JMIR medical informatics · 2017Article
- FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies.BioData mining · 2016Article
- COBE: A Conjunctive Ontology Browser and Explorer for Visualizing SNOMED CT Fragments.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- NEO: Systematic Non-Lattice Embedding of Ontologies for Comparing the Subsumption Relationship in SNOMED CT and in FMA Using MapReduce.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis.BMC medical informatics and decision making · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
NetWellness is a non-profit web service providing high quality health information. It has been in operation since 1995 with over 13 million visits per year by consumers across the world in recent years. Consumer questions in NetWellness have been answered by medical and health professional faculties at three Ohio partner universities: Case Western Reserve University, the Ohio State University, and University of Cincinnati. However, the resident interface in NetWellness is ineffective in searching existing questions that have already been carefully answered by experts in an easy-to-understand manner. In our previous work, we presented a Conjunctive Exploratory Navigation Interface (CENI) reusing NetWellness' 120 pre-defined health topics in assisting question retrieval. This paper presents a novel semantic-based search interface called Semantic Conjunctive Exploratory Navigation Interface (SCENI), using UMLS concepts as topics. 60,000 questions were tagged by UMLS Concept Unique Identifies (CUIs), with each question allowing multiple possible tags. Using a slightly modified 5-point Likert scale for relevance, SCENI reveals improved precision and relevance (precision: 93.47%, relevance: 4.31) in comparison to CENI using NetWellness' pre-defined topics alone (precision: 77.85%, relevance: 3.3) and NetWellness' resident search interface (precision: 50.62%, relevance: 1.97), on a set of sample queries.
Indexed as
Identifiers
25954347PMC4419919What OpenQuestion holds
Registered trials
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.