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Best Practices on Big Data Analytics to Address Sex-Specific Biases in our Understanding of the Etiology, Diagnosis and Prognosis of Diseases

medRxiv(2022)10.1101/2022.01.31.22270183Source: DataRank Database

Best Practices on Big Data Analytics to Address Sex-Specific Biases in our Understanding of the Etiology, Diagnosis and Prognosis of Diseases is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (5)

Karen O’Connor ORCID,Yunwen Wang ORCID,Robin Stevens ORCID,Graciela Gonzalez‐Hernandez ORCID,Su Golder ORCID

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W4210321441

National Institutes of Health

Grant: 1R21DA049572-01

Utilizing Twitter to Identify and Recruit Young Black Men at High Risk of HIV Infection

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2022/02/06/2022.01.31.22270183.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.01.31.22270183

repositoryhttps://doi.org/10.1101/2022.01.31.22270183

https://doi.org/10.1146/annurev-biodatasci-122120-025806

Fields of Study

Sex and Gender in Healthcare03 medical and health sciences0302 clinical medicine

Keywords

PsycINFOInclusion (mineral)Big dataMEDLINEEtiologyMedicineAnalyticsData sciencePsychologyComputer sciencePsychiatryData miningSocial psychologyPolitical scienceMachine LearningMaleArtificial IntelligenceHumansFemaleNatural Language Processing

Sustainable Development Goals

SDG 3: 3. Good healthSDG 10: 10. No inequality