DiagnoBot: A Medical Chatbot

Cheyenne Nixon, Benjamin O’Barr, Keugmo Gu · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2024

Many people live without access to healthcare or delayed care due to inconvenience, work, cost, living in rural areas, or social/medical fears Gertz et al., 2022, Golembiewski et al., 2022.Medical chatbots have emanated as a potential solution to healthcare access and to promote self-care.We aim to provide medical information through conversations with those who may otherwise delay seeking care.A Rasa chatbot is created using our Disease Prediction System, which utilizes machine learning algorithms i.e., Decision Trees, Gradient Boosting, Support Vector Machine (SVM), and Naïve Bayes to guide users to a sensible diagnosis, so they may opt for self-care at home or seek medical attention.In this paper, a sample of 4920 patient records with 41 disorders are analyzed.The Recursive Feature Elimination algorithm enhances 95 out of the 132 symptom features.Our system achieved 97-100 percent accuracy.

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