Deployment of Medibot in Medical Field

  • P. Reshmanth
  • P. Sushanth Chowdary
  • Yogitha. R
  • R. Aishwarya
Keywords: Deep Learning, Machine Learning, Medi Bot, symptoms, Artificial intelligence, Natural language processing.

Abstract

During this pandemic situation, most of people's health care is in the need of medicine and doctors' suggestions to improve and protect their health. Also, have seen many such cases where many people have been infected by COVID. To reduce physical contact and help the people from the spread of diseases the proposed methodology is to implement the medibot in hospitals. A medical bot is a Chatbot that uses NLP (Natural Language Processing) by text format. The medibot is supported by AI and Deep Learning for Medical Diagnostics. The goal of the project is to create a medibot that overcomes the proposed methodology. Many people could not meet the doctors for simple problems such as cold and fever. To reduce these cases will implement the medibot. This medibot can communicate with the patients and understand the symptoms, it will also give them medicines.

References

[1] Srivastava, P., & Singh, N (2020, February). An automatized medical chatbot (medibot). In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) (pp. 351-354). IEEE.
[2] Kandpal, P., Jasnani, K., Raut, R., & Bhorge, S. (2020, July). Contextual Chatbot for healthcare purposes (using deep learning). In 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) (pp. 625-634). IEEE.
[3] Athota, L., Shukla, V. K., Pandey, N., & Rana, A. (2020, June). Chatbot for Healthcare System Using Artificial Intelligence. In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 619-622). IEEE.
[4] Karri, S. P. R., & Kumar, B. S. (2020, January). Deep learning techniques for implementation of chatbots. In 2020 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-5). IEEE.
[5] Bharti, U., Bajaj, D., Batra, H., Lalit, S., Lalit, S., & Gangwani, A. (2020, June). Medbot: Conversational artificial intelligence-powered chatbot for delivering telehealth after covid-19. In 2020 5th International Conference on Communication and Electronics Systems (ICCES) (pp. 870-875). IEEE.
[6] Milla T Mutiwokuziva, Melody W Chanda, Prudence Kadebu, Add light Mukwazvure, Tatenda T Gotora, “A Neural-network based Chat Bot” in ICCES,2017
Published
2022-04-27
How to Cite
Reshmanth, P., Chowdary, P. S., R, Y., & Aishwarya, R. (2022). Deployment of Medibot in Medical Field. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(1), 102-106. https://doi.org/10.33130/AJCT.2022v08i01.015

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.