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- W3035980430 abstract "Significance In our prospective study using nationally representative data from 13,611 adults in the US Health and Retirement Study, we used traditional and machine-learning statistical approaches to reveal the most important factors across the behavioral and social sciences that predict mortality in older adults. In the study, we found that top predictors of mortality spanned all investigated domains, opening up opportunities for future hypothesis generation in observational and clinical studies and the identification of potential new targets for screening and policy." @default.
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- W3035980430 date "2020-06-22" @default.
- W3035980430 modified "2023-10-02" @default.
- W3035980430 title "Predicting mortality from 57 economic, behavioral, social, and psychological factors" @default.
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- W3035980430 doi "https://doi.org/10.1073/pnas.1918455117" @default.
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