Bots Using Natural Language Processing in Medical Sector
A. Shali, P Hari Prashanth, Deepak Rishi G, S Shriram, Mohammed Assel, J. Naskath · 2022 1st International Conference on Computational Science and Technology (ICCST) · 2022
It has been discovered that there aren't enough doctors to meet the needs of the growing population in India due to rising birth rates, declining mortality rates, and advancements in college education. This picture is best appreciated while traveling through city government hospitals, where a lack of doctors is the leading cause of inappropriate patient treatment and, in some cases, death. Even doctors might make mistakes in providing the proper therapy, resulting in the patient's death. A smart and clever Chat bot is needed to handle these circumstances since it can advise doctors and occasionally even patients on what to do, ultimately saving hundreds of lives. Doctors can make mistakes when analyzing symptoms, but a computer that is specifically designed for it will not be able to do so. That is why the ML-based Chat bot on which this study topic is developed deals with providing College guidance in such a circumstance. This ML-based chatbot may make decisions depending on the patient's requests. It accomplishes this by utilizing its own database, and in the unlikely event that the user requests something that isn't already in the database, it gathers data from search engines like Google and provides it to the user in an audio style much to what Google does.