Leveraging Cloud Computing and Recurrent Neural Networks for Scalable Healthcare Solutions and Resource Management

Abstract

The joint efforts of Cloud Computing and Recurrent Neural Network (RNN) represent a new revolution in the healthcare sector, bringing along flexible, scalable, and affordable ways to monitor patients or manage resource usage. The cloud here would be an elastic infrastructure using which healthcare institutions can save, access, and process health data in a more secure manner with less dependence on costly hardware. It has pretty much proved only-in-human resource to be reliable for sequential data, making the patient health information time-dependent patient health information an exceptional example for this application. The RNN model achieved an 85% accuracy and 87% precision that show how efficiently it could predict diabetes. Well, this framework is said to enhance patient care due to the prediction of health outcomes and intervention in time. Data security is still a problem, and with the complexity of RNN models, advanced encryption and model simplification techniques are required. Altogether, the combination of RNNs with cloud technologies will probably add a lot to early diagnosis, patient care, and efficiency in a health-care facility, and therefore definitely address the new growing demands in health care.