Integrated e-healthcare management system using machine learning and flask

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Abstract

Healthcare is one of the flourishing sectors in each developed and emerging economy. Due to this vast COVID-19 pandemic, the traditional healthcare system cannot provide adequate facilities due to a lack of interactions between doctors and patients. In such conditions, e-healthcare is contributing towards the accelerating growth within the healthcare industry by providing the latest information technology to support information search and communication processes. Besides this, a machine learning algorithm is used to intensify the smartness of the healthcare industry. The five major components of an e-healthcare system are cost-saving, virtual networking, electronic medical record physician-patient relationships and privacy concerns. Our proposed system provides location-based e-prescribing, e-reports, disease prediction, and suggesting treatments and emergency services with a single click, so it is better than another existing system.

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Kumar, S., Ojha, J., Tripathi, M. M., & Garg, K. (2023). Integrated e-healthcare management system using machine learning and flask. International Journal of Electronic Healthcare, 13(1), 71–90. https://doi.org/10.1504/IJEH.2023.10052840

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