This paper is in the following e-collection/theme issue:

#xCardiovascularMedicine (3) #xHealthInformatics (11) #xSurgery (2) Artificial Intelligence (1421) Machine Learning (55) Cardiac Surgery (14) Clinical Informatics (1050) Decision Support for Health Professionals (1210) Cardiac Risk and Cardiac Risk Calculators (47)

Published on in Vol 5 (2024)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2023.01.21.23284795v1, first published .
Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis

Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis

Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis

Authors of this article:

Tim Dong1 Author Orcid Image ;   Shubhra Sinha1 Author Orcid Image ;   Ben Zhai2 Author Orcid Image ;   Daniel Fudulu1 Author Orcid Image ;   Jeremy Chan1 Author Orcid Image ;   Pradeep Narayan3 Author Orcid Image ;   Andy Judge1 Author Orcid Image ;   Massimo Caputo1 Author Orcid Image ;   Arnaldo Dimagli1 Author Orcid Image ;   Umberto Benedetto1 Author Orcid Image ;   Gianni D Angelini1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually