Doctor Chatbot – Smart Health Prediction
DOI:
https://doi.org/10.32628/IJSRST2183172Keywords:
Medical Chatbot, Healthcare, Heart Disease Prediction, Data Mining, Support Vector Machine (SVM), Dialogflow.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.
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