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 ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
The American Journal of Managed Care

Machine Learning Predicts Hyperglycemia Risk in Psoriasis

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
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 ...