Ophthalmology Times

Offline smartphone AI accurately detects DR, glaucoma, and AMD in real-world study

An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
IEEE

Prediction of early diabetes using an XGBoost classifier and explaining the influence of the attributes on the metaheuristic algorithm

Abstract: Diabetes remains a major healthcare problem affecting millions of individuals annually throughout the world. Through studying the symptoms, somatic signs, and laboratory values of the ...
IEEE

Hybrid Machine Learning Algorithms-Based IoT Architecture for Real-Time Smart Home: Activities Classification and Anomaly Detection

Abstract: Integrating IoT devices into smart homes opens an opportunity for automation, while privacy and security aspects are still a source of concern. We introduced a hybrid machine learning ...