{"title":"A deep learning model accurately predicts 1-year mortality but at the risk of unfairness","authors":"","doi":"10.1038/s43587-024-00665-5","DOIUrl":null,"url":null,"abstract":"A deep learning model accurately predicts 1-year mortality for the entire Finnish population. Despite robust performance and potential as a digital marker of aging, fairness analyses reveal prediction disparities, so integration into public health should be approached cautiously.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"4 7","pages":"913-914"},"PeriodicalIF":17.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature aging","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43587-024-00665-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A deep learning model accurately predicts 1-year mortality for the entire Finnish population. Despite robust performance and potential as a digital marker of aging, fairness analyses reveal prediction disparities, so integration into public health should be approached cautiously.
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