Patient Health Condition Prediction and Monitoring — Yan Zhang (Microsoft)

This talk showcases a patient health condition prediction and monitoring system, with goal to perform predictive care on patients and identify the risk factors before the condition become more serious. We illustrate the end-to-end process to build this application, including how the machine learning model is trained and deployed, how to automate the data scoring process, and how to consume these results using a reporting/visualization tool.


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Dr. Yan Zhang is a Sr. Data Scientist in Algorithm and Data Science team in data group, Cloud & Enterprise, Microsoft. She builds predictive analytics models and generalizes machine learning solutions on Cloud machine learning platform. Her recent research include cost prediction/fraud claim detection in healthcare domain and predictive maintenance in IoT applications. She is a viewer for book "Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition" published in September 2015.

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