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Monitor and Predict Health Data Using AWS AI Services

Explore how to build a serverless personal health solution leveraging AWS AI services to provide insight extraction, monitoring, and forecasting.

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Rashmi Nambiar user avatar
Rashmi Nambiar
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Feb. 27, 23 · Presentation
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This is a recording of the breakout session at re:Invent 2022 Las Vegas by AWS Hero Luca Bianchi. Posted with permission.

Health systems lack the capability to account for comprehensive population health monitoring. Yet collecting data like oxygenation, temperature, blood tests, and glucose can identify the signs of underlying conditions early. Many home devices are connected and capable of acquiring and monitoring a vast number of vital signs to track a person's health across many relevant metrics. This talk will show how to build a serverless personal health solution leveraging AWS AI services to provide insight extraction, monitoring, and forecasting. Participants will see how to collect a time-variant dataset, use Amazon Lookout for Equipment to spot anomalies, and predict metrics levels.


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  • How To Understand and Choose Your First EC2 Instance on AWS

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