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Healthcare Conversational Chatbot for Medical Diagnosis
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Author(s): Rohan Jagtap (Sardar Patel Institute of Technology, Mumbai, India), Kshitij Phulare (Sardar Patel Institute of Technology, Mumbai, India), Mrunal Kurhade (Sardar Patel Institute of Technology, Mumbai, India)and Kiran Shrikant Gawande (Sardar Patel Institute of Technology, Mumbai, India)
Copyright: 2021
Pages: 15
Source title:
Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
Source Author(s)/Editor(s): Bhushan Patil (Independent Researcher, India)and Manisha Vohra (Independent Researcher, India)
DOI: 10.4018/978-1-7998-3053-5.ch020
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Abstract
Medical services are basic needs for human life. There are times when consulting a doctor can be difficult. The proposed idea is an AI-based chatbot that will provide assistance to the users regarding their health-based issues. The state of the art in the aforementioned field includes extractive bots that extract the keywords (i.e., symptoms from the user's input) and suggest its diagnosis. The proposed idea will be a conversational bot, which unlike the QnA bot will take into consideration the context of the user's whole conversation and reply accordingly. Thus, along with symptom extraction, the user will get a better experience conversing with the bot. The user can also normally chat with the chatbot for issues like if the user is not emotionally sound. For example, the bot will console the user if he/she is feeling stressed by recognizing the emotional health of the user.
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