The Development of A Medical Chatbot Using The SVM Algorithm

Abstract

Technology development has rapidly increased in every division, especially in healthcare. Hospital management started to improve by incorporating technological tools and systems in this era. With the system prepared from the hospital, patient data can be saved and prepared systematically to be used as a queue line of appointments. It could be improved by using a chatbot which increases the efficiency of healthcare services, supported by natural language processing (NLP). The support vector machine (SVM) method is used as an optimal classifier that learns the classification hyperplane in a space map that has the maximal distance (margin) to the training examples. The SVM will predict the suggested specialist based on the given symptom and comorbidities by the users.