图书简介
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 along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as 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 offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
1. Deep Learning for Healthcare C. Deepa and K. Tharageswari 2. Role of AI in Healthcare Sonia Singla 3. Case Studies: Healthcare and Deep Learning Ashish Tripathi et al. 4. Assistive Devices and IoT in Healthcare Functions Abhineet Anand, Sai Prasad Mishra, and Subrata Sahana 5. Impact of IoT in Healthcare Assistive Devices R. Indrakumari et al. 6. Smart Fall Detection Systems for Elderly Care Pratik Bhattacharjee and Suparna Biswas 7. Smart Sensors Transforms Healthcare System Amrita Rai et al. 8. Healthcare Applications of IoT Ritam Dutta, Subhadip Chowdhury, and Ahmed A Elngar 9. Mobile App-Enabled Systems for Healthcare Vikram Sandhu and Harleen Kaur 10. Energy Efficient Network Design for Healthcare Services Amit Sehgal et al. 11. Applying Data Mining to Detect the Mental State and Small Muscle Movements for Individuals with Autism Spectrum Disorder (ASD) Rashbir Singh, Prateek Singh, and Latika Kharb
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