An IoT-based treatment optimization and priority assignment using machine learning

NS Ramaiah, ST Ahmed - ECS Transactions, 2022 - iopscience.iop.org
ECS Transactions, 2022iopscience.iop.org
In India, the resources availability with respect to demand has a larger gap in reality. For
data analytics and resource scheduling for optimized access using the Internet of Things
(IoT) as a data frontend collector, a machine learning technique is discussed in this paper.
Telemedicine was initially considered" futuristic" and" experimental" but telemedicine is the
need of this time. Telemedicine applies in a number of fields: patient care, education,
science, management, and public health. The present study describes launch pads for …
In India, the resources availability with respect to demand has a larger gap in reality. For data analytics and resource scheduling for optimized access using the Internet of Things (IoT) as a data frontend collector, a machine learning technique is discussed in this paper. Telemedicine was initially considered" futuristic" and" experimental" but telemedicine is the need of this time. Telemedicine applies in a number of fields: patient care, education, science, management, and public health. The present study describes launch pads for patient compliance. The proposed approach is aimed at achieving an integrated IoT Unit, Machine Learning Unit, and Broadcasting Unit treatment platform using an interface medium.
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