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Predictive Modeling for Improving Healthcare Using IoT: Role of Predictive Models in Healthcare Using IoT
Abstract
The chapter covers the challenges faced in real-world healthcare services such as operating room bottlenecks, upcoming newborn medicines, managing datasets, and sources. It includes future directions that address practitioner difficulties. When IoT is merged with predictive techniques, it improves the medical service performance rate tremendously. Finally, the chapter covers the case studies and the tools that are in use to motivate the researchers to contribute to this domain.
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