Health systems often 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 session demonstrates how to build a serverless personal health solution leveraging AWS Al services to provide insight extraction, monitoring, and forecasting.
Learn how to collect a time-variant dataset, use Amazon Lookout for Equipment to spot anomalies, and predict metrics levels.
