Predictive modeling for mortality risk in elderly patients with pulmonary embolism using machine learning algorithms
Background Pulmonary Embolism (PE) is a condition that results in significant mortality and morbidity, particularly among the elderly. The aim of our study is to utilize machine learning (ML) algorithms specifically tailored for this population, thereby enhancing the accuracy of risk assessment. Methods Elderly patient...