International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 05 | May 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 5209
Virtual Medical Prediction using Artificial Intelligence (AI)
Rohini R T
1
, Dr. Shanta Rangaswamy
2
1
M.Tech(CSE) student,
2
Associate Professor,
1,2
Dept. of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru, India
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Abstract-A chatbot is a Software Application program, which
interacts with everyone. It is a layer on top of, or a gateway to, a
service. Developed by Machine Learning Algorithm’s (the chatbot
gets smarter the more one interact with it). Artificial Intelligence
(AI) provides the extreme potentiality to imitate the human
process of sensing, intelligent and act correctly to a computer.
Chatbot’s are the computer programs operated using Natural
Languages to communicate with users. However, Chatbot’s runs
completely on Artificial intelligence, so utilizing this proficiency
have determine to append few benefactions for the Health
Information processing. A MedChatbot system has different
expressions posed such as Chatterbot, virtual agent, machine
conversation system and dialogue system. The aim of this
approach is to mimic a human conversation; a language
representation and computational algorithms are combined in
the architecture to emulate casual chat. The functionality of
medical Chatbot’s rely on Natural language processing (NLP)
which assist users to give particular issues regarding well-being.
The users can question any private query associated to health
informatics through the conversation system without visiting the
hospital. The query that presented from the user is sent to the
chatterbot and it provides response, which is displayed on the
conversation page. The major concern of the system is to develop
a web-based platform to examine customer’s sentiments.
Keywords— Machine Learning Algorithm, Artificial
Intelligence, MedChatbot, dialogue system, Natural language
processing, web-based platform.
I. INTRODUCTION
Chatbot is created using artificial intelligent that can talk
with humans and used as information asset. The model
runs on the Computer system and mobile phones over the
Internet, which has the ability to compelling, captivating,
and spell bounding. The input of conversational dialog
system is in natural language sentences; allow users to ask
in a specific field or area and or on a peculiar issue and
output is Predefined knowledge base assist to develop
responses to the query. Usually the users of the chatbot
either ask some question or commence a new topic for
discussion. Chatbots also known as Software agent, which
acts as human entity with AI embedded and provide
response to users query using NLP.
The aim of the method is to deploy the language space
between user and health care distributor by providing
immediate response to user’s question. Today’s people
much dependent on internet but are not concerned of one’s
own health and people do not visit hospitals for minor
issues that may be a vital disease in destiny. Developing a
question answer forum is a straightforward method of
conversation rather than browsing in the web for relevant
document. [7] The three analysis that recognize natural
language are: first the parse subject is completed and
identifies the linguistic of the sentences for object
relations. Second, the text descripted, finally, the meaning
of word is extracted from knowledge of semantic
interpretation.
Chatbot acts as an entity that simulate user conversion
in specific approved structure i.e., text based on Natural
Language Processing (NLP) technique. The development of
this system is done by making of User Interface to sending
and receiving messages. The chatbot application interacts
with user and keep track of the interactions state. To
provide functionality the system recollects the preceding
commands. Artificial algorithms are used to develop
Medical chatbot that examine user's queries, identify, and
provide response to related query. Usually a severe disease
starts from minor problems like headache that feels
common; however, it might be a critical problem if it is
brain tumor. Hence, the diseases are recognized based on
the symptoms then the patient body is analyzed frequently.
MYSQL is included in the central part of the model and
system response to the user by an methodical Graphical
User Interface (GUI), makes users to feel as physically
Doctor is messaging. The applications of conversion
system in different domain are healthcare, education, and
route assistance. [8]
Fig. 1 Block Diagram of Chatbot [7]
As in Fig. 1, User Query: The user initiates a conversation
with the bot by asking it queries, these queries in turn
creates:
Intents: are the classes that help to design or create
meaningful user queries, helping to create categories for
different user queries.
Entities: are the parameters of the user query that help
the bot to extract responses based on the keywords.
Responses: After the bot process the intents, it generates
responses and displays them to the users. [7]
The proposed Medical Chatbot can interact with the users,
giving them a realistic experience of chatting with a
Medical Professional. Chatbot can detect human message
patterns using AIML (Artificial Intelligence Mark-up