Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention

Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention

Introduction: Frailty is associated with increased mortality in patients with percutaneous coronary intervention (PCI). Existing operationalized frailty measurement tools are limited and require resource intensive process. We developed and validated a tool to identify and stratify frailty using coll...

Full description

Saved in:
Bibliographic Details
Main Authors: John T.Y. Soong, L.F. Tan, Rodney Y.H. Soh, W.B. He, Andie H. Djohan, H.W. Sim, T.C. Yeo, H.C. Tan, Mark Y.Y. Chan, C.H. Sia, M.L. Feng
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:International Journal of Cardiology: Heart & Vasculature
Subjects:
Novel machine learning
Frailty index
Percutaneous coronary intervention
Asian
Online Access:http://www.sciencedirect.com/science/article/pii/S2352906724001775
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2352906724001775

Similar Items