AI Based Humanoid Chatbot for Medical Application
J. Nirmal Jothi, S. Poongodi, V.Chinnammal, L.Kannagi, M. Panneerselvam, Ramachandran Thandaiah Prabu · 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) · 2022
Chatbots have significantly decreased human efforts by giving automated human-like solutions to a wide range of societal and business issues. The main objective is to design a medical query reply chatbot with heart disease prediction, which is capable of answering medical and disease-related queries and predicting heart disease based on input test parameters. The appropriate NLP algorithms are used in our Medical data, which is created in the JSON format and the Artificial Neural Network model (ANN) is utilized to train both the chat and heart disease datasets. ANN is a deep learning method that allows the machine to understand patterns and responses itself, and hence accuracy is achieved of over 90% during testing.