Affiliation:
1. Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology(Affiliated to VTU), Bengaluru, Karnataka, India
Abstract
As in today’s world, the number of patients on usual is increasing apace with the amendment in life-style. Queues in hospitals and native doctor's residences are rapidly Increasing. Patients with hectic schedules must spend a significant amount of time waiting to meet the doctor. It takes a long time to heal certain diseases. Heart disease could be a quite common problem worldwide. Many people, both young and old, suffer and die from heart attacks every day. Chatbots will perform tasks such as reducing agent transfers, resolving issues more quickly, improving self-service, and so on. They need constant support to discuss their issues with and to provide them with factual data. This paper introduces a possible solution to provide them with what they're seeking for a chatbot. The projected chatbot would be a heart disease Predictor which is designed for individuals managing any kind of symptoms that connect to the heart. The bot is trained by data collected from numerous Heart Disease-related forums that have a good and wide range of knowledge regarding the heart.
Reference14 articles.
1. Kyo-Joong Oh, DongKun Lee, ByungSoo Ko, Ho-Jin Choi; “A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation”;2375-0324/17 $31.00 ©2017 IEEE, 2017 IEEE 18th International Conference on Mobile Data Management.
2. Chin-Yuan Huang, Ming-Chin Yang, Chin-Yu Huang, Yu - Jui Chen, Meng-Lin Wu, Kai-Wen Chen; “A Chatbot- supported Smart Wireless Interactive Healthcare System for Weight Control and Health Promotion”; 978-1-5386- 6786-6/18/$31.00 ©2018 IEEE, Proceedings Of the 2018 IEEE IEEM.
3. Belfin R V, Ashly Ann Mathew, Blessy Babu, Shobana A.J., Megha Manilal; "A Graph Based Chatbot for Cancer Patients"; 978-1-5386- 9533-3/19/$31.00 ©2019 IEEE, 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).
4. Shafquat Hussain, Prof. Athula Ginige; "Extending a conventional chatbot knowledge base to external knowledge source and introducing user based sessions for diabetes education"; 978-1-5386-5395- 1/18/$31.00©2018 IEEE, 2018 32nd International Conference on Advanced Information Networking and Applications Workshops.
5. Prof. Mrs. L. Kannagi M.E., Ramya .C, Shreya .R, Sowmiya .R; “Virtual Conversational Assistant – “The FARMBOT”; International Journal of Engineering Technology Science and Research, ISSN 2394 3386 Volume 5, Issue 3 March 2018.
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