{"title":"深度学习模型可准确预测 1 年死亡率，但存在不公平的风险。","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":"{\"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}","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}
A deep learning model accurately predicts 1-year mortality but at the risk of unfairness
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
