![]() ![]() Meijera, A., Websterb, C.W.R.: The COVID-19-crisis and the information polity: an overview of responses and discussions in twenty-one countries from six continents. In: International Conference on Computational Intelligence and Data Science (ICCIDS), Procedia Computer Science, vol. Kudwai, B., Nadesh, R.K.: Design and development of diagnostic chabot for supporting primary health care systems. (IJACSA) 8(9), 39–46 (2017)īali, M., Mohanty, S., Chatterjee, S., Sarma, M., Puravankara, R.: Diabot: a predictive medical Chatbot using ensemble learning. ![]() Mujeeb, S., Javed, M.H., Arshad, T.: Aquabot: a diagnostic Chatbot for achluophobia and autism. Omoregbe, N.A.I., Ndaman, I.O., Misra, S., Abayomi-Alli, O.O., Damaševičius, R.: Text messaging-based medical diagnosis using natural language processing and fuzzy logic. In: International Conference on Advanced Computing and Communication Systems (ICACCS), Vol. ![]() Gupta, J., Singh, V., Kumar, I.: Florence- a health care Chatbot. In: The Proceedings of International Conference on Advanced Computing & Communication Systems (ICACCS), vol. 1(4), 1–16 (2021)īelfin, R.V., Shobana, A.J., Manilal, M., Mathew, A.A., Babu, B.: A graph based chatbot for cancer patients. Sahoo, S., Kakileti, S.T., Shah, R., Antony, M., Bhattacharyya, C., Manjunath, G.: COVID-SWIFT: simple Whatsapp based image interpretation at your fingertips. Keywordsįernandes, S., Gawas, R., Alvares, P., Fernandes, M., Kale, D., Aswale, S.: Doctor chatbot: heart disease prediction system. Once the Chatbot has detected the probable disease, it works effectively by suggesting redressal measures and medications to the user or by referring them to a doctor. After DiagZone has gathered adequate keywords from the original messages, it will start to lead the conversation by interrogating the user and trying to list a few diseases that the user may suffer from. Text entered by the user is processed with the pivotal implementation of NLP. With the help of AWS Lex, AWS Lambda and channel Twilio, we have integrated our Flask based Chatbot to Whatsapp. It saves on unnecessary time required in specialist consultations. Since it is free and provides mobility with the capability of being accessible anywhere irrespective of the user’s location, it encourages practical utilization. Our proposed idea is to create an affordable and accessible all-day chatbot- DiagZone for people to check on their health in contrast to the conventional way of higher time investments. With rapid changes, remote or home-stationed diagnosis systems are becoming exponentially popular, featuring ample number of advantages like cost-efficiency, quick and authentic decision support for medical diagnostics, treatment and prevention of any physical or mental damages. People avoid initial hospital treatment that could turn into a major disease in the future. ![]()
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