| Time | Session Name | Title | Students | Tutor 1 | Tutor 2 |
| 14:00 | Opening | Annette ten Teije | David Riaño | ||
| 14:10 | Session 1: Data & Process Mining |
Interpretable machine learning techniques for patient phenotyping in clinical problems |
Antonio Lopez-Martinez-Carrasco | Lucia Sacchi | Szymon Wilk |
|
Developing Data Science Approaches to Improve Paediatric Critical Care Patient Flow and its Related Health Economic Benefits |
J. Palmer | ||||
| 15:10 | Break 1 | ||||
| 15:30 | Session 2: Clinical Decision Support Systems |
Patient behavioral anomaly detection in healthcare systems |
Garazi Artola | Cédric Pruski | Annette ten Teije |
|
Objectivisation of Facial Expression Assessment in Parkinson’s Disease and Depression |
Teodora Matić | ||||
| 16:30 | Break 2 | ||||
| 16:45 | Session 3: Modelling & Prediction | Performance of a Multicenter TAVI Early Mortality Prediction Model: Center Variability and Case-mix Variability | Tsvetan R. Yordanov | Adela Grando | Martin Michalowski |
|
Machine Learning Methods to Predict Duration of Stay in ICU Patients |
David Cuadrado | ||||
| 17:45 | Closing | Annette ten Teije | David Riaño |