Health Consultant Bot: Primary Health Care Monitoring Chatbot for Disease Prediction


  • Asad Ur Rehman University of Engineering and Technology Taxila, Punjab Pakistan
  • Madiha Liaqat University of Engineering and Technology Taxila, Punjab Pakistan
  • Ali Javeed University of Engineering and Technology Taxila, Punjab Pakistan
  • Farman Hassan University of Engineering and Technology Taxila, Punjab Pakistan


Chatbot, Disease Prediction, Health monitoring, Healthcare


This research paper presents a disease prediction chatbot that is intelligent enough to communicate with patients to predict their disease by detecting their symptoms through natural language processing. This system allows the user to describe their medical health condition in natural language, and by processing their natural language-based statement, our system detects the symptoms, predicts the disease, and provides basic precautions as well as a brief introduction about the disease. We have used IBM Watson Assistant to build this system. Watson assistant provides several machine learning algorithms to process user statements and symptoms extraction. In our system, symptoms were mapped by considering the community data which resulted in a predicted disease. Our system provides the relevant information about the predicted disease from the system's database. In an experimental evaluation, we carried out a study having 156 subjects, who interact with the system in a daily use scenario. Results show the effectiveness and accuracy of our system to support the patient in taking good care of their health.

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How to Cite

Asad Ur Rehman, Madiha Liaqat, Ali Javeed, & Farman Hassan. (2022). Health Consultant Bot: Primary Health Care Monitoring Chatbot for Disease Prediction. International Journal of Innovations in Science & Technology, 4(1), 201–212. Retrieved from