HEALTH CARE MEDIBOT IN MEDICAL FIELD USING MACHINE LEARNING

Abstract

Health is considered an important part of human health, including physical, mental and social health, and plays an important role in our lives. Hospitals are the most common way for patients to receive physical examinations ,diagnosis , treatment recommendations. However, it Is very difficult to take every minor health problem to a doctor and get approval from the doctor. The idea is to use artificial intelligence to create a “medical chatbot” that can diagnose disease and provide useful information about the disease before going to the doctor. Chatbots are computers that use natural language to interact with users. The main goal of the project is to create a Medibot that can assist doctors and patients with tasks such as symptom assessment, diagnostic support, treatment recommendations and publication of medical information. Medibot will use machine learning algorithms that learn from big data of medical conversations to understand users' questions and ideas and respond accordingly. medical software or existing platforms and perform rigorous testing to ensure accuracy and reliability. A continuous evaluation and improvement process will be used to improve Medibot's performance over time. Through this project, the team is focusing on the development of AI driven solutions in healthcare while solving real-world problems faced by doctors and patients. Deploying Medibot has the potential to improve clinical processes, improve access to medical information, and ultimately improve patient care outcomes Key Words:: Medibot, Rasa framework, Health, Artificial intelligence, Natural language processing, Queries, Deployment of ML algorithms, intent, entity