Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...

Abstract: The present study focuses on the use of ML and DL methods to forecast the occurrence of common disorders in the area, including diabetes, allergies. Diabetic retinopathy (ADKD) and diabetic ...