APPLYING MACHINE LEARNING TO DIFFERENTIATE PREDICTORS OF SYNCOPE, SIMPLE AND COMPLEX FALLS IN THE IRISH LONGITUDINAL STUDY ON AGEING (TILDA)

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Item Type:

Poster

Date:

2021

Author:

Romero-Ortuno, Roman

Access:

openAccess

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

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URI:

http://hdl.handle.net/2262/97563

Sponsor

Grant Number

Science Foundation Ireland (SFI)

18/FRL/6188

Author's Homepage:

http://people.tcd.ie/romeroor

Author: Romero-Ortuno, Roman

Sponsor:

Science Foundation Ireland (SFI)

Other Titles:

Age and Ageing
Annual and Scientific Meeting Virtual Meeting of the Irish Gerontological Society 70 Years of Change 1951 2021 18th November 2021

Type of material:

Poster

URI:

http://hdl.handle.net/2262/97563

Collections

• Medical Gerontology (Scholarly Publications)
• RSS Feeds

Availability:

Full text available

Subject:

Machine learning, Ageing, Random Forest, Falls

Subject (TCD):

Ageing

DOI:

https://doi.org/10.1093/ageing.62/afab216

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