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

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.14.638368Source: DataRank Database

Towards machine learning fairness in classifying multicategory causes of deaths in colorectal or lung cancer patients is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: greenTopics (27)IDs (PubMed, OpenAlex)SDGs (1)

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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:40027644 OpenAlex:https://openalex.org/W4407752303

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 Science Foundation

Grant: 2128307

EAGER: Integration and analysis of high-dimensional dataset

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/02/19/2025.02.14.638368.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.02.14.638368

repositoryhttps://doi.org/10.1101/2025.02.14.638368

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40027644

Fields of Study

Colorectal Cancer Screening and DetectionGlobal Cancer Incidence and ScreeningRadiomics and Machine Learning in Medical Imaging0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Machine learningArtificial intelligenceLogistic regressionSupport vector machineComputer scienceLinear discriminant analysisClassifier (UML)Multilayer perceptronMultinomial logistic regressionRandom forestMedicineArtificial neural networkMaleLung NeoplasmsCase StudyHumansFemaleMiddle AgedColorectal NeoplasmsArticleAlgorithmsAged

Sustainable Development Goals

SDG 0: Reduced inequalities