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Glucose TSA

Keras Forecasting Sensor IoT Neural Network
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This workflow uses sensor data from a wearable glucose monitoring device to generate 30 minute forecasts for glucose levels, then using a rule engine sets output message as "Glucose level is too high", "Glucose level is too low", or "All is well". A Scatter Plot visualizes the output messages over the glucose sensor log.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.0
  • KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Integrated Deployment Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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