CHAT IBD:A MACHINE LEARNING-DRIVEN CHATBOT FOR PERSONALIZED SUPPORT AND SYMPTOM MONITORING IN INFLAMMATORY BOWEL DISEASE PATIENTS

Inflammatory Bowel Disease (IBD) is a chronic condition that requires continuous management and monitoring of symptoms to prevent flare-ups and maintain patient well-being. Machine learning (ML) technologies have shown significant promise in healthcare, particularly in providing personalized support for chronic disease management. This paper explores the development of an ML-powered chatbot designed specifically for IBD patient support and symptom tracking. The chatbot leverages Natural Language Processing (NLP) to understand patient queries, track symptoms, and provide real-time advice on disease management. It can predict symptom patterns and recommend personalized interventions by analyzing historical data, including symptom logs, lifestyle factors, and treatment history. A detailed technical overview of the chatbot development is provided, covering data collection, machine learning model design, integration with healthcare systems, and security protocols to ensure patient privacy. The paper also addresses the challenges in the development process, such as handling unstructured data, ensuring medical accuracy, and maintaining patient engagement. Key features of the chatbot include real-time symptom tracking, personalized advice based on machine learning models, and seamless integration with electronic health record (EHR) systems. The conclusion emphasizes the potential of ML-powered chatbots to transform chronic disease management by offering patients a more personalized, proactive, and accessible tool for managing IBD.