A Smart Healthcare Application using Artificial Intelligence (AI) and Machine Learning (ML)
A proposed system that uses AI and ML algorithms to previously available datasets to provide medical prescriptions and disease prediction based on the symptoms provided by the user, and integrates state-of-the-art AI technology, including Natural Language Processing and Deep Learning to enable the chatbot to provide contextually appropriate descriptions of medical conditions and treatments.
Abstract
The combination of Artificial Intelligence and Machine Learning technologies within the healthcare industry has enabled a significant shift in conventional methodologies, offering more opportunities to enhance the patient care, streamline resource management, and optimize healthcare delivery efficiency. This research study describes a proposed system that uses AI and ML algorithms to previously available datasets to provide medical prescriptions and disease prediction based on the symptoms provided by the user. Proposed technique also integrates state-of-the-art AI technology, including Natural Language Processing (NLP) and Deep Learning (DL) to enable the chatbot to provide contextually appropriate descriptions of medical conditions and treatments. Extensive algorithm selection guarantees response generation accuracy, while the deployment is streamlined by establishing a connection with Google Dialogflow. When taken as a whole, these components improve healthcare accessibility. Performance review verifies that this approach is effective in addressing inquiries with accurate and helpful information. The proposed system holds significant potential for enhancing healthcare accessibility and efficiency, with opportunities for further research and collaboration with healthcare providers.