IEEE

Improving Accuracy of Diabetes Prediction Using Machine Learning Techniques and Clinical Data

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Comparative Study of Machine Learning Models for Diabetes Prediction

Abstract: Diabetes is one of the most widespread and critical health issues globally, attributed to factors such as obesity, sedentary lifestyles, and elevated blood sugar levels. These factors ...
Frontiers

Machine learning and validation reveal that immune-related genes in systemic lupus erythematosus regulate apoptosis and cycle progression in diffuse large B-cell lymphoma

Department of Rheumatology and Immunology, The Third Affiliated Hospital of Anhui Medical University, Anhui, China Introduction: Systemic lupus erythematosus (SLE) and diffuse large B-cell lymphoma ...