Authors :
Dr. Renuka R Devi; Himanshu Banerjee; Baibhab Saha
Volume/Issue :
Volume 7 - 2022, Issue 10 - October
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3UxHQG0
DOI :
https://doi.org/10.5281/zenodo.7315590
Abstract :
Artificial Intelligence(AI) and Machine
Learning(ML) has become an integral part of our day to
daylife. A large number of technologies are coming forth
to help us and make our life easier. Chatbot or virtual
assistant is a technology that is coming forward in this
regard. Previously, we had simple questions and answers
or FAQsin the name of assistant, but now the chatbot will
diagnose the disease based on queries answered by the
users.
The model will be trained by using a highly
diversified and accurate database with symptoms and
diseases.The proposed model uses a decision tree
algorithm to initiate a top down follow up and identify the
complexity of the patient and produce a outcome.The user
is provided a question and answer approach and a
preferable and highly accurate diagnosis is produced.
Keywords :
Healthcare Chatbot, Artificial Intelligence, Machine Learning,Decision Tree Algorithm.
Artificial Intelligence(AI) and Machine
Learning(ML) has become an integral part of our day to
daylife. A large number of technologies are coming forth
to help us and make our life easier. Chatbot or virtual
assistant is a technology that is coming forward in this
regard. Previously, we had simple questions and answers
or FAQsin the name of assistant, but now the chatbot will
diagnose the disease based on queries answered by the
users.
The model will be trained by using a highly
diversified and accurate database with symptoms and
diseases.The proposed model uses a decision tree
algorithm to initiate a top down follow up and identify the
complexity of the patient and produce a outcome.The user
is provided a question and answer approach and a
preferable and highly accurate diagnosis is produced.
Keywords :
Healthcare Chatbot, Artificial Intelligence, Machine Learning,Decision Tree Algorithm.
