论文标题
机器学习在医疗保健和物联网（IoT）中的应用：全面评论
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review
论文作者
论文摘要
近年来，Smart Healthcare IoT设备无处不在，但是由于其政策，它们在孤立的网络中工作。将这些设备连接到网络中，使我们能够执行医疗分布式数据分析。但是，在技术，结构和网络政策方面存在各种物联网设备，这使其成为一个艰巨的问题，同时将传统的集中学习算法应用于从物联网设备收集的分散数据上。在这项研究中，我们对最先进的机器学习应用程序进行了广泛的评论，尤其是在医疗保健中，物联网中具有挑战性的问题以及相应的有前途的解决方案。最后，我们重点介绍了医疗保健IoT的一些开放式问题，这些问题为科学家留下了进一步的研究和研究。
In recent years, smart healthcare IoT devices have become ubiquitous, but they work in isolated networks due to their policy. Having these devices connected in a network enables us to perform medical distributed data analysis. However, the presence of diverse IoT devices in terms of technology, structure, and network policy, makes it a challenging issue while applying traditional centralized learning algorithms on decentralized data collected from the IoT devices. In this study, we present an extensive review of the state-of-the-art machine learning applications particularly in healthcare, challenging issues in IoT, and corresponding promising solutions. Finally, we highlight some open-ended issues of IoT in healthcare that leaves further research studies and investigation for scientists.
