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 ...
Frontiers

Prediction of total iodine dose of I-131 therapy for Graves’ hyperthyroidism achieved ...

Department of Nuclear Medicine, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China Objective: Graves’ hyperthyroidism (GH) presents significant ...
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

Predicting cognitive impairment in Parkinson’s disease: a machine learning approach based ...

Background: Cognitive impairment is a common and disabling non-motor symptom of Parkinson’s disease, markedly diminishing quality of life and elevating caregiver burden. Although considerable research ...