What are the four layers of the general architecture for AI and IoT-based healthcare services described in the chapter?
The four layers are the IoT layer, the data-processing layer, the AI-based analytics layer, and the application layer.
In the general architecture described in the chapter, the IoT layer handles data collection and communication using devices, sensors, edge nodes, and protocols. The data-processing layer performs middleware tasks such as integrating, aggregating, cleaning, and securely transmitting data to cloud or edge platforms. The AI-based analytics layer applies machine learning, deep learning, natural language processing, and decision support systems to analyze data for predictive insights. The application layer delivers healthcare services such as remote patient monitoring, telemedicine, and personalized healthcare, along with patient and caregiver interfaces.
Key points
- IoT layer: collects real-time patient and environmental data using wearables, implantables, sensors, and edge devices.
- Data-processing layer: aggregates, cleans, integrates, and secures data from diverse IoT sources.
- AI-based analytics layer: uses ML, deep learning, NLP, and decision support systems to generate predictive insights.
- Application layer: provides healthcare services and interfaces such as remote patient monitoring, telemedicine, and personalized care.
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John Wiley & Sons, Inc.