Enhanced Detection of Diabetes Mellitus Using Novel Ensemble Feature Engineering Approach and Machine Learning Model

Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model

Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer…

Novel Artificial Intelligence Models Detect Type 1 Diabetes Risk Before Clinical Onset

New Studies Highlight Machine Learning as Potential Early Risk Detection Strategy

Personalized Diabetes Prevention: Insights from 15 Years of the VA MOVE! Program, with Qiaochu Xue, PhD, MPH

Xue discussed her research developing a personalized prediction algorithm for predicting responders to a DPP-style intervention.