Abstract
Every person needs health care for a good start to their life. But when it comes to health issues, it is extremely difficult to consult a doctor due to the pandemic situation. Now it is very difficult to consult with doctors or visit in hospital. Natural language processing (NLP) and machine learning concepts will be applied to the development of a chatbot application. With supervised machine learning, a chatbot system is proposed, which will provide disease diagnosis and treatment with detailed descriptions about different diseases before consulting with doctor. This proposed system provides GUI-based text assistant that can communicate with bot like user-friendly. Bot will provide user symptoms and risk factor respective to user disease analgesics and also provides the best suggestion. The chatbot will also clarify when to see a doctor physically. The research indicates that this type of system is underused and that people do not know of its benefits. By using this free application, every individual will be able to avoid the expensive and time-consuming process of visiting a hospital.
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Bal, S., Jash, K., Mandal, L. (2024). An Implementation of Machine Learning-Based Healthcare Chabot for Disease Prediction (MIBOT). In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E., Roy, S. (eds) Modeling, Simulation and Optimization. CoMSO 2022. Smart Innovation, Systems and Technologies, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-99-6866-4_32
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