Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Jung In ParkSelen BozkurtJong Won ParkSunmin LeePublished in: BMJ health & care informatics (2023)
Predicting the individualised survival outcome of breast cancer can provide the evidence necessary for determining treatment options and high-quality, patient-centred cancer care delivery for under-represented populations. Also, the race/ethnicity-specific ML models can mitigate representation bias and contribute to addressing health disparities.