Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Leveraging Memetic Algorithm and Machine Learning Methods for Email-Based Spam Detection

Abstract: Email is the most frequently utilized method of communication between people nowadays. This is because most people in institutions, banks, universities, hospitals, and others depend mainly ...
IEEE

Multilabel Transfer Learning Method With Dynamic Multimetric for Coupling Fault Diagnosis

Abstract: In industrial practice, as systems become increasingly complex and integrated, the simultaneous failure of multicomponents, namely, coupling faults, has become more prevalent, which can be ...