Conversational AI Chatbot for HealthCare

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Abstract

Health is a state of total physical, mental, and social wellbeing. chatbots have been applied to this industry frequently and in a variety ofways in the past, there is still room for more inventive uses. Healthcareconversational AI use cases are flexible and may be tailored to the industry. Patients might use them to gain additional knowledge about their disease, the therapies that are available, or even their insurance coverage. Because research has shown that healthcare chatbots can improve patient satisfaction and significantly reduce wait times, many healthcare organisations are considering incorporating them into their operations. Chatbots for healthcare can be used for a number of purposes, such as monitoring, anonymity, personalization, in-person involvement, and more. In this case study, the user's input on the patient's symptoms will be used to determine the patient's likely ailment type. According on the type of sickness, precautions will be suggested, and the patient will be sent to a doctor who specialises in that field. A sequential model was utilised to extract the text's symptoms, and the KNN method was then applied to predict the patient's ailment type.1

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CITATION STYLE

APA

Sri Lalitha, Y., Ganapathi Raju, N. V., Vanimireddy, R. T., Mothe, V. S. K., & Nenavath, A. N. (2023). Conversational AI Chatbot for HealthCare. In E3S Web of Conferences (Vol. 391). EDP Sciences. https://doi.org/10.1051/e3sconf/202339101114

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