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2021 | OriginalPaper | Chapter

Revolution of AI-Enabled Health Care Chat-Bot System for Patient Assistance

Authors : Rachakonda Hrithik Sagar, Tuiba Ashraf, Aastha Sharma, Krishna Sai Raj Goud, Subrata Sahana, Anil Kumar Sagar

Published in: Applications of Artificial Intelligence and Machine Learning

Publisher: Springer Singapore

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Abstract

Chat-Bot is like our personal virtual assistants which can conduct a conversation through textual methods or auditory methods. One of the important tools of AI is Chabot’s which can interact directly with humans and provide them with a considerate solution to their problem. These kinds of AI programs are designed to simulate how a human behaves as a conversational partner, after passing the Turing test. Chabot’s are generally accessed via public virtual assistants such as Google Assistant, Microsoft Cortana, Apple Siri, or via various individual organizations’ apps and websites. The process of building a Chat-Bot involves two tasks: understanding the user’s intent and predicting the correct solution. In the development of Chat-Bot, the first task is to understand the input entered by the user. The prophecy is made depending on the first task. The main feature one can use of Dialog Flow API is follow-up intent. By using follow-up intent, one can create a decision tree that will help in the prediction of a disease by the Chat-Bot. Through this project, one can get insights into the actual understanding of Chat-Bot, explore various NLP techniques, and understand how to harness the power of NLP tools (Bennet Praba et al in Int J Innov Technol Explor Eng 9:3470–3473, (2019) [1]). One can thoroughly enjoy building their Chat-Bot from scratch and learning the advancements in the domain of machine learning and general AI.

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Metadata
Title
Revolution of AI-Enabled Health Care Chat-Bot System for Patient Assistance
Authors
Rachakonda Hrithik Sagar
Tuiba Ashraf
Aastha Sharma
Krishna Sai Raj Goud
Subrata Sahana
Anil Kumar Sagar
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-3067-5_18

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