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Mount Sinai to develop sleep apnea outcome risk prediction models

Mount Sinai to develop sleep apnea outcome risk prediction models
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United statesShania kennedyArthurm fishbergMayte suarez farinasGirish nadkarniAmerican heart associationNational heartGenomic sciences at icahn mount sinaiPopulation health scienceCharles bronfman institute of personalized medicineMount sinaiGetty imagesBlood instituteNational institutesCharles bronfman institutePersonalized medicine

Machine Learning Models Predict Mortality Among Dementia Patients

Machine Learning Models Predict Mortality Among Dementia Patients
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United statesShania kennedyIcahn school of medicine at mount sinaiVirginia universityGenomic sciences at icahn mount sinaiCenters for diseaseUs national alzheimer coordinating centerCommunications medicineGetty imagesIcahn schoolMount sinaiDisease controlCoordinating centerKuan lin huangGenomic sciencesIcahn mount sinai

AI finds key signs that predict patient survival across dementia types

AI finds key signs that predict patient survival across dementia types
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United statesZhang songGenomic sciences at icahn mount sinaiCommunications medicineUs national alzheimer coordinating centerIcahn school of medicine at mount sinaiSurvival analysis based on dementiaIcahn schoolMount sinaiKuan lin huangAssistant professorGenomic sciencesIcahn mountCoordinating center

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