Within the field of healthcare engineering, we offer one course which you will find more information about below.
Please check the individual course descriptions for possible prerequisites and note at which campus/location the course is offered.
Artificial Intelligence for Healthcare Data
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.
Course description | Level: Bachelor | Offered in Odense | Offered by: SDU Software Engineering