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TEXT MINING OF THE PEOPLE’S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES

medRxiv(2022)10.1101/2022.02.02.22270107Source: DataRank Database

TEXT MINING OF THE PEOPLE’S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0.

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Enrichment:Funding (1 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (10)

Jon-Michael Beasley ORCID,Daniel Korn ORCID,Saad Mohammad Abrar ORCID,Cleber C. Melo‐Filho ORCID,Eugene Muratov ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4210421390

National Institutes of Health

Grant: 3OT2TR002514-01S1

Biomedical Data Translator Technical Feasibility Assessment of Reasoning Tool: University of North Carolina at Chapel Hill

greenLicense: cc-by-nc

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2022/02/04/2022.02.02.22270107.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.02.02.22270107

repositoryhttps://doi.org/10.1101/2022.02.02.22270107

Fields of Study

Social Media in Health EducationBiomedical Text Mining and OntologiesWikis in Education and Collaboration0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Computer sciencePipeline (software)Drug repositioningPharmacyData scienceInformation retrievalNatural language processingSocial mediaArtificial intelligenceDrugMachine learningWorld Wide WebMedicine

Sustainable Development Goals

SDG 0: Quality Education