An enhanced machine learning framework for Type 2 diabetes classification using imbalanced data with missing values

• Main Authors: Roy, Kumarmangal, Ahmad, Muneer, Waqar, Kinza, Priyaah, Kirthanaah, Nebhen, Jamel, Alshamrani, Sultan S., Raza, Muhammad Ahsan, Ali, Ihsan
• Format: Article
• Published: Wiley 2021
• Subjects: Q Science (General); QA Mathematics; T Technology (General)
• Online Access: http://eprints.um.edu.my/33909/

Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis p...