这本新书讨论了深度学习和物联网在医疗保健领域的应用和挑战。它描述了世界各地的从业者和研究人员结合物联网使用的深度学习技术。
作者探讨了物联网和深度学习的融合，以使事物能够沟通、共享信息和协调决策。这本书包括深度前馈网络、正则化、优化算法、卷积网络、序列建模和实用方法。本章将介绍医疗保健中的辅助设备、警报和检测设备、使用物联网的能效、为自闭症患者收集健康信息的数据挖掘、用于移动应用的物联网等。本文还提供了数学和概念背景，介绍了最新的技术以及一些案例研究。
IoT Applications for Healthcare Systems
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide.
The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
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