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

Clinical Informatics (1350) Machine Learning (2124) Decision Support for Health Professionals (1564) Clinical Information and Decision Making (1955) Cardiology (230) Tools, Programs and Algorithms (385) Big Data for Health Promotion and Health Equity (48)

Published on in Vol 26 (2024)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46936, first published .
Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Authors of this article:

Isabel Straw1 Author Orcid Image ;   Geraint Rees1 Author Orcid Image ;   Parashkev Nachev1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. De Robina Duhart P. ¿Prejuicios en la IA? Análisis del sesgo algorítmico y una propuesta de solución. Medicina y Ética 2025;36(4):1293 View
  2. Barbosa da Silva Jr J, Birminghamm M, Rivière Cinnamond A, Boisson E, Valdez M, Garcia Saiso S, Souza J, Marti M, Leah-Marie Richards L, Guzman J, Nelson J, Pesce K, Haddad A, Fitzgerald J, Bascolo E, Dagostino M. Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems (Preprint). JMIR Public Health and Surveillance 2025 View