Machine learning—enhanced baseline risk prediction models for cancer therapy related cardiac dysfunction: a systematic review and critical appraisal of methodological quality
Abstract Aims Cancer therapy-related cardiac dysfunction (CTRCD) is a prevalent complication with adverse clinical implications. Guidelines have emphasized the need for reliable baseline risk prediction to guide prevention strategies. While machine learning (ML) has shown promise in cardiovascular medicine, the readine...