Hasso-Plattner-Institut20 Jahre HPI
Hasso-Plattner-Institut20 Jahre HPI

Digital Health Research Lab (Wintersemester 2019/2020)

Dozent: Prof. Dr. Erwin Böttinger (Digital Health - Personalized Medicine) , Dr. Hanna Drimalla (Digital Health - Personalized Medicine)

Allgemeine Information

  • Semesterwochenstunden: 2
  • ECTS: 3
  • Benotet: Ja
  • Einschreibefrist: 01.10.-30.10.2019
  • Lehrform: Seminar
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch
  • Maximale Teilnehmerzahl: 40

Studiengänge & Module

Digital Health MA


The Digital Health Research Lab (DHRL) is a preparatory course for the master project of the research group of Professor Dr. Erwin Böttinger “Machine Learning on Real-World Health Data with Cloud-based In-Memory Database Computing”. 

In the master project, students will apply machine learning methods using electronic health record (EHR) data of the Mount Sinai Data Warehouse (MSDW). To prepare you for this task, you will learn the basics about data access with FIBER (a python library for accessing MSHS Data Warehouse) and data analysis with Python by hands-on tasks on a small EHR data set.

The master project is structured around three use cases: heart disease, mental health, and back pain. In the DHRL we will provide you with background knowledge about these topics, discuss current research questions in these fields and lay the foundation for the master project. Last but not least, we will also teach you the fundamentals of clinical human research including ethical guidelines.


Planned Times:

10/25 and 11/15 (Fridays): 09:00 a.m. – 06:00 p.m.

10/26 and 11/16 (Saturdays): 09:00 a.m. – 02:00 p.m.

G1 E 14/15