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Towards machine learning fairness in classifying multicategory causes of deaths in colorectal or lung cancer patients

Briefings in Bioinformatics(2025)10.1093/bib/bbaf398Source: DataRank Database

Towards machine learning fairness in classifying multicategory causes of deaths in colorectal or lung cancer patients is a research paper published in Briefings in Bioinformatics (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 0.50)OA: goldTopics (50)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Fei Deng ORCID,Mary L. Disis ORCID,Nan Gao ORCID,Lanjing Zhang ORCID,Catherine H. Feng ORCID

Live enrichment

PubMed:40794953 PMC:PMC12342732 OpenAlex:https://openalex.org/W4413112385

U.S. National Science Foundation

Grant: IIS-2128307

National Institutes of Health

Grant: R01DK132885

National Institutes of Health

Grant: R37CA277812

National Science Foundation

Grant: 2128307

EAGER: Integration and analysis of high-dimensional dataset

National Institutes of Health

Grant: 7R01DK132885-03

Paneth cell heterogeneity in infection and inflammation

National Institutes of Health

Grant: 5R37CA277812-04

SCH: Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patients

National Institute of Diabetes and Digestive and Kidney Diseases

National Cancer Institute

FWCI

0.50

Citation Percentile

0.7%

Citation Trend

2026

goldLicense: cc-by-nc

journalhttps://doi.org/10.1093/bib/bbaf398

publisherhttps://doi.org/10.1093/bib/bbaf398

publisherhttps://academic.oup.com/bib/article-pdf/26/4/bbaf398/63997282/bbaf398.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40794953

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12342732

Fields of Study

Colorectal Cancer Screening and DetectionRadiomics and Machine Learning in Medical ImagingGlobal Cancer Incidence and Screening0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyHumansLung NeoplasmsMachine LearningColorectal NeoplasmsMaleFemaleMiddle AgedAgedAlgorithms

MeSH Terms

Machine LearningAgedAlgorithmsFemaleHumansLung NeoplasmsMaleMiddle AgedColorectal Neoplasms

Keywords

Machine learningLogistic regressionArtificial intelligenceSupport vector machineComputer scienceMultinomial logistic regressionLinear discriminant analysisClassifier (UML)Random forestMultilayer perceptronMedicineArtificial neural networkLung cancerSurvivalColorectal CancerMultilabel ClassificationMachine Learning FairnessMaleLung NeoplasmsCase StudyHumansFemaleMiddle AgedColorectal NeoplasmsArticleAlgorithmsAged

Sustainable Development Goals

SDG 0: Reduced inequalities