Chatbot for Healthcare System Using Artificial Intelligence

Authors

  • Srinivasa Rao Dammavalam Associate Professor, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
  • Chandana Nukala Student, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
  • Rajeshwar Rao Thakkallapally Student, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
  • Lahari Anegama Student, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
  • Manish Kumar Ravikanti Student, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

Keywords:

Chatbot, Appointments, Diagnosis, NLP, Long Short Term Memory (LSTM), Recurrent Neural Networks (RNN)

Abstract

The healthcare sector represents one of the most significant segments of the economy. This sector offers medical services and goods to everyone. A reliable healthcare system ensures a strong economy by increasing life expectancy, contributing to national growth, and reducing the burden on families. The purpose of this project is to implement a proper healthcare management system integrating all the basic functionalities powered by an Artificial intelligence (AI) chatbot that is capable of having a very organic conversation with the user and solving their queries using a knowledge base. The knowledge base has real-time data collected in a JSON format which is pre-processed to make it ready for further processing. The bag of words model is used for further pre-processing. Further, the proposed methodology uses Deep Neural Networks to implement the chatbot which has speech recognition capabilities. The information is received and delivered in both speech and text formats. The chatbot can provide navigation links according to the requests of a user. Furthermore, it is capable of predicting the problem by performing symptom diagnosis and recommending a doctor to be consulted and any immediate measures to be taken. In addition, it provides information regarding diagnostics beforehand.

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Published

23-08-2022

How to Cite

[1]
S. R. Dammavalam, C. Nukala, R. R. Thakkallapally, L. Anegama, and M. K. Ravikanti, “Chatbot for Healthcare System Using Artificial Intelligence”, IJRESM, vol. 5, no. 8, pp. 69–73, Aug. 2022.

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Section

Articles