Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture is a research paper published in Journal of the American Medical Directors Association (2020). On theSindex it has a DataRank of 0. It has been cited 38 times.
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National Institutes of Health
Grant: K24 AG049077-02
National Institutes of Health
Grant: KL2TR002554
NIA NIH HHS
Grant: K24 AG049077
NIGMS NIH HHS
Grant: T32 GM007171
NIA NIH HHS
Grant: P30 AG028716
National Institutes of Health
Grant: 1K24AG049077-01A1
Mentoring Intervention Development in Fall and Fracture Prevention
National Institutes of Health
Grant: 5P30AG028716-15
Duke Claude D. Pepper Older Americans Independence Center
National Institutes of Health
Grant: 5KL2TR002554-04
Institutional Career Development Core
National Institute on Aging
National Center for Advancing Translational Sciences
FWCI
3.13
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture
Additional file 1 of Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture