ArticleBMC medical informatics and decision making2018
X-search: an open access interface for cross-cohort exploration of the National Sleep Research Resource.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Review
- INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools.Frontiers in digital health · 2024Review
- An Interactive Information Visualization System for Temporal Queries in a Large-scale COVID-19 EHR Dataset (COVID-SPHERE): development and qualitative evaluation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Metadata recommendations for light logging and dosimetry datasets.BMC digital health · 2024Article
- An ontology-based approach for harmonization and cross-cohort query of Alzheimer's disease data resources.BMC medical informatics and decision making · 2023Article
- Design and validation of a FHIR-based EHR-driven phenotyping toolbox.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Article
- Temporal Cohort Logic.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- ACE: the Advanced Cohort Engine for searching longitudinal patient records.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- ELII: A novel inverted index for fast temporal query, with application to a large Covid-19 EHR dataset.Journal of biomedical informatics · 2021Article
- Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.BMC medical informatics and decision making · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe National Sleep Research Resource (NSRR) is a large-scale, openly shared, data repository of de-identified, highly curated clinical sleep data from multiple NIH-funded epidemiological studies. Although many data repositories allow users to browse their content, few support fine-grained, cross-cohort query and exploration at study-subject level. We introduce a cross-cohort query and exploration system, called X-search, to enable researchers to query patient cohort counts across a growing number of completed, NIH-funded studies in NSRR and explore the feasibility or likelihood of reusing the data for research studies.
methodsX-search has been designed as a general framework with two loosely-coupled components: semantically annotated data repository and cross-cohort exploration engine. The semantically annotated data repository is comprised of a canonical data dictionary, data sources with a data dictionary, and mappings between each individual data dictionary and the canonical data dictionary. The cross-cohort exploration engine consists of five modules: query builder, graphical exploration, case-control exploration, query translation, and query execution. The canonical data dictionary serves as the unified metadata to drive the visual exploration interfaces and facilitate query translation through the mappings.
resultsX-search is publicly available at https://www.x-search.net/ with nine NSRR datasets consisting of over 26,000 unique subjects. The canonical data dictionary contains over 900 common data elements across the datasets. X-search has received over 1800 cross-cohort queries by users from 16 countries.
conclusionsX-search provides a powerful cross-cohort exploration interface for querying and exploring heterogeneous datasets in the NSRR data repository, so as to enable researchers to evaluate the feasibility of potential research studies and generate potential hypotheses using the NSRR data.
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What 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.