Below selected examples give an impression on demos developed in the project.

Descriptive analytics – Kaplan Meier survival analysis

Several iterations of Kaplan-Meier survival analysis have been created.
The result is further developed and integrated in MPyC demos. A live demo is available:
Secure Kaplan-Meier Survival Analysis Explained .

Kaplan-Meier demo snapshot

Predictive modelling – logistic regression for chronic heart failure risk

The logistic regression demo demonstrates the typical workflow of a data scientist with Jupyter Notebook to train a logistic regression model with around 3000 patient records from multiple hospitals.