Application of Machine Learning and Cloud Computing for Observing Health Status of Patients Remotely in Healthcare System

Strategies that may gain insight from both labeled and unlabeled data as well as from their environment are being developed through the use of machine learning. Machine learning is applied in many domains, but it is most commonly used in the healthcare sector, where it offers substantial benefits through suitable decision- and prediction-making techniques. A online system which can continuously monitor the individual’s condition and generate an alert when needed is introduced by the proposed work. This suggested methodology uses cloud computing and various machine learning algorithms to store data continuously. To identify risks and provide the right treatment and diagnosis, physicians analyze medical data using machine learning techniques and tools. The range of remote healthcare services includes monitoring elderly patients, premature children, patients with chronic illnesses, and victims of accidents. The current study investigates how machine learning technologies can be used to monitor patients who are located remotely and provide real-time alerts about their condition via a remote system.