A data-driven machine learning model for effective diabetes diagnosis
The proposed model is intended to serve as a decision-support system for screening and classification tool using routine clinical data to facilitate early diagnosis and treatment planning and investigate the ability to differentiate between types of diabetes through machine learning approach.