How an archeological approach can help leverage biased data

An archeological view on biased data could help improve machine-learning models in health care settings.

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Uganda , Marzyeh Ghassemi , Elaine Nsoesie , Vinith Suriyakumar , Lawrence Tabak , Maxine Mackintosh , White House Office Of Science , Alan Turing Institute , International Conference On Machine , Artificial Intelligence Laboratory , Health Care , Institute Of Medical Engineering , Johns Hopkins University , Boston University Of Public Health , National Institutes Of Health , Kai Program , New England Journal , White House Office , Abdul Latif Jameel Clinic , Machine Learning , Jameel Clinic , Computer Science , Medical Engineering , Biased Data , Informative Artifacts , Assisted Health Care , Kadija Ferryman , Chronic Kidney Disease Collaboration , International Conference , San Diego Assistant Professor Berk Ustun , National Institutes , Boston University , Public Health , Mit Jameel Clinic , Mit Csail , Linical Ai , Iased Medical Datasets , Bias In Public Health , Ridge2ai Program ,