Hybrid machine learning model for healthcare monitoring systems
by M.K. Nallakaruppan; U. Senthil Kumaran
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 10, No. 5, 2020

Abstract: The human life is facing a daunting task to handle the physical ailments. The late diagnosis of many diseases leads to serious complications on the human health. The lack of medical awareness is the primary cause of the lack of diagnosis and treatment which allows the disease grows easily. The prescribe work provides a solution to physically challenged or elderly people through web-based remote health monitoring facilities. The system collects the data, classifies them, apply the machine learning algorithms to ensure the data integrity. The reports are then generated and supplied to doctors for further examination of the patient record for taking medical decisions. We form a hybrid cluster of machine learning algorithms to ensure the increased accuracy and reduced error rate on the patient data measurement.

Online publication date: Tue, 15-Sep-2020

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