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Algorithmic Fairness in Computational Medicine

medRxiv(2022)10.1101/2022.01.16.21267299Source: DataRank Database

Algorithmic Fairness in Computational Medicine is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)SDGs (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Yunyu Xiao ORCID,Hui Wang ORCID,Yue Ning ORCID,Elizabeth Shenkman ORCID,Jiang Bian ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4210513239

National Institutes of Health

Grant: 5R01CA246418-04

The benefits and harms of lung cancer screening in Florida

National Institutes of Health

Grant: 3RF1AG072449-01S1

Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers

National Science Foundation

Grant: 2047843

CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events

National Science Foundation

Grant: 1948432

CRII: III: Learning Dynamic Graph-based Precursors for Event Modeling

National Science Foundation

Grant: 2135988

SaTC: CORE: Small: Securing Network Embedding against Privacy Attacks

National Science Foundation

Grant: 2029038

SaTC: CORE: Medium: Privacy for All: Ensuring Fair Privacy Protection in Machine Learning

National Institutes of Health

Grant: 1R21AG068717-01

Optimizing the Population Representativeness of Older Adults in Alzheimer's Disease and Related Dementia Clinical Trials

National Science Foundation

Grant: 1750326

CAREER: Interpretable Deep Modeling of Discrete Time Event Sequences

National Institutes of Health

Grant: 5R01MH124740-04

Developing Suicide Risk Algorithms for Diverse Clinical Settings using Data Fusion

National Institutes of Health

Grant: 5R01AG076234-03

Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical Knowledge

National Institutes of Health

Grant: 3R21CA245858-01A1S1

Examine the risk of Alzheimer's disease in sexual and gender minorities

National Institutes of Health

Grant: 1R21CA253394-01A1

Optimizing the Population Representativeness of Older Adults in Cancer Trials

greenLicense: CC BY

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2022/06/13/2022.01.16.21267299.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.01.16.21267299

repositoryhttps://doi.org/10.1101/2022.01.16.21267299

https://www.medrxiv.org/content/medrxiv/early/2022/01/25/2022.01.16.21267299.full.pdf

Fields of Study

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

Computer scienceContext (archaeology)Data scienceComputational modelMachine learningArtificial intelligencePrecision medicineManagement scienceRisk analysis (engineering)MedicineAlgorithmic fairnessMedicine (General)Clinical Decision-MakingDecision MakingRReviewR5-920BiasHumansComputational medicine

Sustainable Development Goals

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