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Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model

medRxiv(2020)10.1101/2020.09.16.20196022Source: DataRank Database

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (28)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Reusable (0/3)

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Authors (8)

Jianfu Li ORCID,Yiqi Xu,Nan Wang ORCID,Yanshan Wang ORCID,Terrence J Adam ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W3087513579

National Institutes of Health

Grant: 5R01AT009457-07

A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements

National Institutes of Health

Grant: 5UL1TR001427-08

Together: Transforming and Translating Discovery to Improve Health

National Institutes of Health

Grant: 3UL1TR002494-02S1

University of Minnesota Clinical and TranslationalmScience Institute (UMN CTSI)

National Institutes of Health

Grant: 1R21AG061431-01

Systematic Analysis of Clinical Study Generalizability Assessment Methods with Informatics

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2020/09/18/2020.09.16.20196022.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.09.16.20196022

repositoryhttps://doi.org/10.1101/2020.09.16.20196022

https://pubmed.ncbi.nlm.nih.gov/33936396

Fields of Study

Statistical Methods in Clinical TrialsEthics in Clinical ResearchMeta-analysis and systematic reviews03 medical and health sciences0302 clinical medicine

Keywords

Clinical trialHealth recordsComputer scienceParsingArtificial intelligencePsychological interventionCohortMachine learningProcess (computing)MedicineDeep learningNatural language processingInternal medicineNursingClinical Trials as TopicDatabases, FactualPatient SelectionPartnership PracticeModels, TheoreticalDietary SupplementsElectronic Health RecordsFeasibility StudiesHumans

Sustainable Development Goals

SDG 3: 3. Good health