| 1 |
Gender Bias In Diagnosis, Prevention, And Treatment Of Cardiovascular Diseases: A Systematic Review |
https://doi.org/10.7759/cureus.54264 |
| 2 |
Gender Bias In The Diagnosis And Treatment Of Coronary Artery Disease |
https://doi.org/10.1016/S0147-9563(95)80020-4 |
| 3 |
Determinants Of Referral For Suspected Coronary Artery Disease: A Qualitative Study Based On Decision Thresholds |
https://doi.org/10.1186/s12875-023-02064-y |
| 4 |
Risk Factors For Cardiovascular Disease In Women |
https://doi.org/10.1016/j.maturitas.2009.02.014 |
| 5 |
Disparities In Physicians’ Interpretations Of Heart Disease Symptoms By Patient Gender: Results Of A Video Vignette Factorial Experiment |
https://doi.org/10.1089/jwh.2008.1007 |
| 6 |
Mitigating The Risk Of Artificial Intelligence Bias In Cardiovascular Care |
https://doi.org/10.1016/S2589-7500(24)00155-9 |
| 7 |
An Efficient Convolutional Neural Network For Coronary Heart Disease Prediction |
https://doi.org/10.1016/j.eswa.2020.113408 |
| 8 |
An Adversarial Training Framework for Mitigating Algorithmic Biases in Clinical Machine Learning |
https://doi.org/10.1038/s41746-023-00805-y |
| 9 |
Fairlearn Team: Common Fairness Metrics |
URL |
| 10 |
IBM Cloud Pak for Data: Disparate Impact |
URL |
