Deep Learning Based Intelligent Recommendation Model For Type 2 Diabetes Mellitus complication Prevention with notification caller bot.A Randomized controlled trail

The prevention of Type 2 Diabetes mellitus is a critical public health concern globally. This study proposes an artificial intelligence (AI)-based recommendation model for Diabetes prevention, utilizing deep learning techniques, and integrating a notification audio caller bot. The goal is to develop a personalized and effective intervention to combat diabetes complication through timely reminders, education, and behavioral recommendations.

A randomized controlled trial (RCT) will be conducted to assess the effectiveness of the AI recommendation model with the notification caller bot. The target population was comprised of patients with type 2 Diabetes mellitus. The notification caller bot will be integrated into the system to deliver call reminders, reminders messages and educational content to individuals. It helps to know whether patient taken medication regularly or not. In case of emergency like giddiness ,if patient didn’t attend the call, it gives notification call to patient attenders.