The course will be divided in 4 modules that will bring together technical, modeling, and contextual skills to solve real-life problems:

Module 1 - Introduction to health data

Course introduction (AI and Machine Learning Applied in Health)

How is data collected and stored?

GDPR and ethical considerations

Data cleaning, data preprocessing, data visualization

Module 2 - Using AI for disease diagnosis and early detection

Hands-on practice: “Using medical history data to predict prostate cancer metastasis”

Module 3 – Using AI for patient monitoring based on EEG recordings

Hands-on practice: “Seizure detection for patients with generalized epilepsy”

Module 4 – Using AI for video feed based medical device development

Hands-on practice: “Use of wireless capsule endoscopy for detecting colorectal cancer”

Exercises are performed using standard tools in the corresponding fields, I.e., in R and Python.

Level: Bachelor | Offered in Odense | Offered by: SDU Software Engineering