Real-Time, Serverless Predictions With Google Cloud Healthcare API (Cloud Next '19)

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There is no shortage of opportunities for clinical decision support and cognitive assistance in healthcare. In this session, review a serverless architecture for generating real-time clinical predictions using FHIR in Cloud Healthcare API and built with Cloud Machine Learning Engine, Cloud Pub/Sub, and Cloud Functions. Also, hear how FHIR-based, machine learning tools are deployed into live clinical environments.

“Cloud Healthcare API → https://bit.ly/2Kl9RRF
Healthcare API Predictions → https://bit.ly/2K4ttct”

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Kurt Ericson, David Burdick

Session ID: MLAI219
product:Cloud Healthcare,Cloud Healthcare Service,Cloud ML Engine,APIs,TensorFlow,Cloud; fullname:Kurtis Ericson;


Duration: 39:32
Publisher: Google Cloud
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