A pre-screening application to provide guidance to patients who believe they may be at risk for diabetes. This application provides users a brief nine-item questionnaire involving questions concerning age, body measurements, and diabetes-related medical history. This data is then fed into a decision tree classifier to predict the user’s diabetes risk category and deliver a recommendation to the user.
This study was developed by Laboratory for Advanced Biomedical Informatics (LABi) at LSUS in collaboration with Feist-Weiller Cancer Center’s (FWCC) Partners in Wellness mobile screening units that provide free screenings to financially qualified uninsured or under-insured individuals across half of Louisiana as far as Bunkie, Oakdale and Kinder.