APPLYING MACHINE LEARNING TO DIFFERENTIATE PREDICTORS OF SYNCOPE, SIMPLE AND COMPLEX FALLS IN THE IRISH LONGITUDINAL STUDY ON AGEING (TILDA)
Citation:
Y.T. Tang, R. Romero-Ortuno, APPLYING MACHINE LEARNING TO DIFFERENTIATE PREDICTORS OF SYNCOPE, SIMPLE AND COMPLEX FALLS IN THE IRISH LONGITUDINAL STUDY ON AGEING (TILDA), Age and Ageing, Annual and Scientific Meeting Virtual Meeting of the Irish Gerontological Society 70 Years of Change 1951 2021 18th November 2021, Online, 2021
Sponsor
Grant Number
Science Foundation Ireland (SFI)
18/FRL/6188
Author's Homepage:
http://people.tcd.ie/romeroor
Author: Romero-Ortuno, Roman
Other Titles:
Age and AgeingAnnual and Scientific Meeting Virtual Meeting of the Irish Gerontological Society 70 Years of Change 1951 2021 18th November 2021
Type of material:
PosterAvailability:
Full text availableKeywords:
Machine learning, Ageing, Random Forest, FallsSubject (TCD):
AgeingDOI:
https://doi.org/10.1093/ageing.62/afab216Metadata
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