HEALTHCARE CHAT-BOT

Authors

  • Pravin Pardhi Student, Department of Computer Engineering St Vincent Pallotti College of Engineering & Technology Nagpur
  • Shriganesha Jibhakate Student, Department of Computer Engineering St Vincent Pallotti College of Engineering & Technology Nagpur
  • Suyog Wanjari Student, Department of Computer Engineering St Vincent Pallotti College of Engineering & Technology Nagpur
  • Tina Munje Student, Department of Computer Engineering St Vincent Pallotti College of Engineering & Technology Nagpur

Keywords:

Machine Learning, Natural Language Processing, Deep Learning

Abstract

Chat-bots can provide a gateway into the world where artificial intelligence is developing, particularly in the healthcare industry, where patients can quickly communicate their problems with a chatbot and receive advice. The chat-bots are computer programs that converse in plain English with users.It
stores and analyses the training models using machine learning and NLP approaches, allowing the chat-bot to answer to user inquiries more correctly
and successfully when they are subject-specific. Natural Language Processing powers the functionality of medical chat-bots and allows users to
submit issues related to their health. Healthcare chatbots will never take the place of doctors. However, they offer a lot of chances for them to perform better or make their job easier.

References

Athulya N,Jeeshna K,S J Aadithyan,U Sreelakshmi,Hairunizha Alias Nisha Rose

HEALTHCARE CHATBOT (IJCRT) https://ijcrt.org/papers/IJCRTH020011.pdf

Ashutosh Sharma, Pooja Shingate, Shivam Shivgan, Roshan Bauskar. A Chat-bot Supported Smart Interactive Healthcare System .(IRJET)

Dr. Himani Mittal, Varun Srivastava, Shri Krishna Yadav, Suraj Kumar Prajapati, Healthcare Chat-bot System using Artificial Intelligence https://www.ijirt.org/master/publishedpaper/IJIRT15 1926_PAPER.pdf

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Published

29-04-2023

How to Cite

Pravin Pardhi, Shriganesha Jibhakate, Suyog Wanjari, & Tina Munje. (2023). HEALTHCARE CHAT-BOT. International Journal for Research Publication and Seminar, 14(3), 89–92. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/473

Issue

Vol. 14 No. 3 (2023): Vol 14 | Issue 3 | NCASIT 2023

Section

Original Research Article

License

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