It is an optimization algorithm that helps to train machine learning models with the goal of minimizing errors between predicted and actual outputs.
Published in Chapter:
MEDIFY: A Healthcare Chatbot Using NLP
Sudha Senthilkumar (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India), Subhro Mukherjee (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India), Siddhant Jain (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India), and Yashvardhan Aditya (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India)
Copyright: © 2024
|Pages: 13
DOI: 10.4018/979-8-3693-1830-0.ch011
Abstract
There is an increasing population in India, due to reduction in the death rate and growing pace in birth due to improvement in the medical field; however, the amounts of experts are fewer to serve the need of the growing people. The present circumstance can be witnessed while walking around the local organization medical facilities where the limited availability of the experts is the critical purpose leads to less to the patient's required treatment. To fulfill the need of the patients first aid support and redirect the patient to the correct expert based on their available location and time, intelligent chatbots are emerging requirement. The NLP integrated artificial intelligent based clinical chatbot simulates and processes patient conversation by making people interact with smart devices the way how they were make the conversation with doctors who are expert in the medical field. To achieve this, the system collects and stores the information in the web crawler such as Google to fetch the information as per the client request in the emergency situation. The proposed Medify chatbot uses the integration of Machine learning techniques and NLP with the web crawler Google to achieve a highly accurate, user-friendly interface.