International Journal of Scientific Research and Engineering Development-– Volume 4 Issue 2, Mar- Apr 2021
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED:All Rights are Reserved Page 89
AI Based Healthcare Chatbot System by Using Natural Language
Processing
Harsh Mendapara, Suhas Digole, Manthan Thakur, Anas Dange
Department Name: Computer Engineering
College Name: St John College of Engineering and Management, Palghar.
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Abstract:
Artificial Intelligence has core branches like, Machine Learning which takes in data, searches patterns,
improves itself using the data, and displays the outcome. To lead healthy lifestyle healthcare is very much
important. In few unsocialized areas, it is quite hard to find a consultation with a doctor that easily
regarding health issues. The main idea here is to make a healthcare chatbot based on Artificial Intelligence
using NLP that can diagnose the disease and provide required details about the specific disease before
consulting or visiting a doctor. Reduces the healthcare costs and improves accessibility to this medical
chatbot. Specific chatbots act as virtual medical assistance, which helps the patient know more about their
disease and helps to improve their health. The user can achieve the real benefit of a chatbot only when it
can diagnose all kinds of diseases and provide the necessary information. A text-to-text medical chatbot
involves patients in online conversation considering their health problems which provides a set of
personalized diagnoses based on their provided symptoms. These bots connect with the potential patients
visiting the site, helping them discover specialists, booking appointments, and getting them access to
correct treatment. This chatbot uses Natural language processing techniques to process and analyze the
data and give the output inappropriate manner. It brings up the disease-related problems about whether the
task mentioned above should be assigned to human staff. This healthcare chatbot system will provide
patients healthcare support online at all times. It helps to generate health data and automatically delivers
the information of reports to medical management. By asking the questions in series it helps the patient by
guiding what exactly the user is looking for queries.
Keywords —Artificial Intelligence, Machine Learning, NLP, text-to-text, chatbot, healthcare.
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I. INTRODUCTION
The Current artificial intelligence has developed
to a point where programs can learn by the humans
and effectively simplistic human conversations
which is essential. One of the best-known examples
of chatbots in recent history is Siri the AI assistant
that is part of Apple's standard software for its
products. Siri took chatbot mainstream in 2011.
Since then, brands in every sector have started to
use them, eventually developing a new trend
conversational in user experience. This refers to an
end-user experience in which your interaction with
a firm or service is automated based on user prior
behaviour. If users are developing artificial
intelligence applications like Alexa, which enables
the use of voice to control devices. If you are a user,
you can already interact with this Artificial
Intelligence chatbot on popular messaging
platforms like Facebook, Instagram and so on.
RESEARCH ARTICLE OPEN ACCESS