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- W4378977388 abstract "This paper discusses the clinical chatbot which could examine the contamination and deliver essential insights regarding the contamination previous to counseling a specialist. To lower the healthcare charges and similarly increase openness to clinical facts the clinical chatbot is constructed. Certain chatbots pass approximately as clinical reference books, which facilitates the affected person to discover approximately their contamination and assists with running on their fitness. The person can accomplish the real gain of a chatbot simply while it is able to examine all forms of infections and deliver essential data. In later sections of the paper, a doctor appointment system software is also discussed that is integrated with the chatbot so that the specialist which is recommended by medical chatbot can be easily visited at the mutually agreed time of both specialist and patient. Such an appointment system has its own advantages like it reduces the waiting time of the patient, patients can choose the appointment time in keeping with their desire additionally to be had and booked slots are proven in powerful graphical person interface." @default.
- W4378977388 created "2023-06-02" @default.
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- W4378977388 date "2023-03-18" @default.
- W4378977388 modified "2023-10-06" @default.
- W4378977388 title "A Machine Learning Model on Healthcare Based Chatbot and Appointment System" @default.
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- W4378977388 doi "https://doi.org/10.1109/aisp57993.2023.10134881" @default.
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