Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study

Background: Electrolyte abnormalities following #chemotherapy are common and clinically significant complications in cancer patients and are often associated with treatment delays and adverse outcomes. This study aims to develop and validate machine learning models to predict eight electrolyte abnormalities in cancer patients receiving chemotherapy.Methods: We retrospectively analyze medical records of cancer patients from two tertiary… Continue reading Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study