Manuscript Number : CSEIT2173172
Disease Prediction Chatbot
Authors(5) :-Shraddha A. S, Shreepada Bhat, Shubhashri V. K, Sinchana Karnik, Narender M Applications in the field of machine learning and artificial intelligence have been in great demand over the recent decade. Now it has various applications in the field of health industry. With the help of machine learning algorithm prediction of diseases has been made easier. Now doctors can concentrate only on treatment with the help of technology. Technology is accelerating innovations in the healthcare domain which has increased people’s standard of living over the years. Here in our project we are making a healthcare chatbot with help of Natural language processing and machine learning algorithm to predict disease. User interacts with the chatbot just like one interacts with his doctor and based on the symptoms provided by users and the chatbot will identify the symptom and predict the disease.
Shraddha A. S Chatbot, NLP, Naïve bayes Publication Details Published in : Volume 7 | Issue 3 | May-June 2021 Article Preview
Department of Computer Science and Engineering at National Institute of Engineering Manandvadi Road, Mysuru, Karnataka, India
Shreepada Bhat
Department of Computer Science and Engineering at National Institute of Engineering Manandvadi Road, Mysuru, Karnataka, India
Shubhashri V. K
Department of Computer Science and Engineering at National Institute of Engineering Manandvadi Road, Mysuru, Karnataka, India
Sinchana Karnik
Department of Computer Science and Engineering at National Institute of Engineering Manandvadi Road, Mysuru, Karnataka, India
Narender M
Assistant Professor, Department of Computer Science and Engineering at National Institute of Engineering Manandvadi Road , Mysuru, Karnataka, India
Date of Publication : 2021-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 632-636
Manuscript Number : CSEIT2173172
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT2173172
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