Medicine and Health Sciences Commons^™

Predictive Model And Feature Importance For Early Detection Of Type Ii Diabetes Mellitus, Eric Adua, Emmanuel A. Kolog, Ebenezer Afrifa-Yamoah, Bright Amankwah, Christian Obirikorang, Enoch O. Anto, Emmanuel Acheampong, Wei Wang, Antonia Y. Tetteh

Research outputs 2014 to 2021

Background: Accurate prediction and early recognition of type II diabetes (T2DM) will lead to timely and meaningful interventions, while preventing T2DM associated complications. In this context, machine learning (ML) is promising, as it can transform vast amount of T2DM data into clinically relevant information. This study compares multiple ML techniques for predictive modelling based on different T2DM associated variables in an African population, Ghana. Methods: The study involved 219 T2DM patients and 219 healthy individuals who were recruited from the hospital and the local community, respectively. Anthropometric and biochemical information including glycated haemoglobin (HbA1c), body mass index (BMI), blood pressure, …