A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Smartphone apps, fitness trackers and wearable devices help people with heart disease get more physical activity in their ...
It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...
Objectives To evaluate the prognostic value of carotid-femoral pulse wave velocity (cfPWV), a marker of aortic stiffness, for ...
Abstract: Cervical diseases, specifically cervical cancer (CC), are among the leading causes of death around the globe, imposing a significant challenge to scientists and healthcare providers dealing ...
Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...
About Developed a Heart Disease Prediction System using Machine Learning and Deep Learning techniques. Implemented SVM, Logistic Regression, Random Forest, and Decision Tree algorithms along with ...
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