June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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IoT in healthcare
Globally, health and medical care services are facing tremendous challenges owing to, for example, soaring costs, an ageing population, an increase in the prevalence of chronic and/or multiple conditions, and a shortage of skilled healthcare professionals. In addition, traditional care services relying on average and/or qualitative data and a one-size-fits-all prescribing approach do not work well. In this context, the use of IoT in healthcare services addresses many of these challenges by offering the following features:
- Seamless integration with various existing technologies
- Support of big data processing and analysis
- Personalized services
- Remote and real-time monitoring-based connected healthcare services
- Quantitative ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.