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AI Finds Key Signs That Predict Patient Survival Across Dementia Types

Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in de

United statesNew yorkEast harlemColumbia universityJimmy zhangKwuncg chanUs national alzheimer coordinating centerGenomic sciences at icahn mount sinaiPhd university of washingtonNational institutes of healthMerck coAssociation of american medical collegesCommunications medicineUniversity of queenslandZachary miller university of washingtonMount sinai health system

Using machine learning to identify key predictors of mortality in dementia patients

Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients.

United statesJimmy zhangKwuncg chanPhd university of washingtonCommunications medicineUniversity of queenslandZachary miller university of washingtonColumbia universityUs national alzheimer coordinating centerMount sinai health systemGenomic sciences at icahn mount sinaiIcahn school of medicine at mount sinaiSinai healthIcahn schoolMount sinaiCorresponding author

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