Deep Learning-Based Classification for Healthcare-Based IoT System for Efficient Diagnosis
Keywords:Deep learning-based, Healthcare, IoT, Accuracy, Performance, Potential application, obstacles, research priorities
The Internet of Things (IoT) is a rapidly evolving technology in the realm of computing that aims to standardise the networking of previously disparate objects. IoT is relevant to many industries because to its accessibility, flexibility, portability, and energy efficiency. This includes wearable gadgets, smart cities, smart homes, smart cars, agriculture, supply chain, and retail. IoT also plays a crucial role in the healthcare sector by reducing the burden on more conventional healthcare infrastructure. IoT based healthcare solutions have been used to track patient information in real time. Data acquired via IoT-enabled health care apps may now be processed without the need for feature engineering, thanks to recent developments in deep learning (DL). In this chapter, we give a comprehensive overview of IoT-based healthcare systems with regard to DL models, based on a variety of case studies. In this research paper, DL in IoT-based healthcare systems, including its current popularity, potential applications, obstacles, and research priorities has been considered.
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