These symptoms, combined with the high demand for healthcare services, present an opportunity to build an AI chatbot for healthcare. Symptoms such as fever, cough, shortness of breath, and loss of smell or taste have become the most common indicators of COVID-19. The need for remote healthcare solutions, telemedicine, and AI-driven technologies has become more important than ever. The healthcare system is struggling to keep up with the surge in patients, the lack of resources, and the high demand for accurate information. The healthcare industry is facing many challenges in today's world, with the COVID-19 pandemic being at the forefront. Google Cloud Deployed Link : Title of the project : AI Healthcare ChatbotĪn AI-powered chatbot that can provide healthcare information and support to users. Ī to Z list of common illnesses and conditions | NHS inform. Ĭhen, J., Agbodike, O., Wang, L.: Memory-based deep neural attention (mDNA) for cognitive multi-turn response retrieval in task-oriented chatbots. BFAL Lecture Notes in Computer Science, vol. In: Frasson, C., Bamidis, P., Vlamos, P., (eds) Brain Function Assessment in Learning. ĭolianiti, F., Tsoupouroglou, I., Antoniou, P., Konstantinidis, S., Anastasiades, S., Bamidis, P.: Chatbots in healthcare curricula: the case of a conversational virtual patient. 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: 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, pp. Chatbot for healthcare system using artificial intelligence. Īthota, L., Shukla, V.K., Pandey, N., Rana, A. īattineni, G., Chintalapudi, N., Amenta, F.: AI chatbot design during an epidemic like the novel coronavirus. In: The Fifth International Conference on Smart City Applications (2020). (IRJET) 07(02) (2020)Īyanouz, S., Abdelhakim, A.B., Benhmed, M.: A smart chatbot architecture based NLP and machine learning for health care assistance. Shangrapawar, A., Ravekar, A., Kale, S., Kumari, N., Shende, A., Taklikar, P.: Artificial intelligence based healthcare chatbot system. In: 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, pp. Mathew, R.B., Varghese, S., Joy, S.E., Alex, S.S.: Chatbot for disease prediction and treatment recommendation using machine learning. ĭivya, S., Indumathi, V., Ishwarya, S., Priyasankari, M., Kalpana Devi, S.: Survey on medical self-diagnosis chatbot for accurate analysis using artificial intelligence. In: 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, pp. Madhu, D., Jain, C.J.N., Sebastain, E., Shaji, S., Ajayakumar, A.: A novel approach for medical assistance using trained chatbot. In: Impedovo, D., Pirlo, G., (eds) Workshop on Artificial Intelligence with Application in Health, Bari, Italy, (2017) Trends Technol (IJCTT) 60(1) (2018)Īmato, F., Marrone, S., Moscato, V., Piantadosi, G., Picariello, A., Sansone, C.: Chatbots meet eHealth: automatizing healthcare. ĭharwadkar, R., Deshpande, N.A.: A medical ChatBot. Rarhi, K., Bhattacharya, A., Mishra, A., Mandal, K.: Automated medical chatbot. KeywordsĪnil Kumar, S., Vamsi Krishna, C., Nikhila Reddy, P., Rohith Kumar Reddy, B., Jeena Jacob, I.: Self-diagnosing health care chatbot using machine learning. This can, therefore, assist users to get an initial idea and how to proceed about it further. The model utilizes NLP and Neural Networks together, and Decision tree classifiers separately for two different ways of diagnosis. A conversational chatbot, like the one aimed to be created here, is a prototypical model for providing users a pre-diagnosis based on symptoms and concerns mentioned by the user. chatbots have progressed to become quite handy in the medical industry for various purposes––predicting diseases, medications, pathology queries, and even just for general medical awareness at much lesser cost and resources. The period of COVID-19 has especially been challenging in having access to doctors and hospital visits despite minor health issues, people refrain from visiting medical institutions. It is not always easy to await a doctor’s appointment to find out what the health problem or disease could be, for various reasons. Health care is a major part of our lives and it is inevitable. Artificial Intelligence is becoming an important Computer Science field that is being leveraged periodically, to be collaborated with everyday applications.
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