Artificial Intelligence for Healthcare Data
University of Southern Denmark (SDU)
Fee for international students
- Intakes
- August
- Duration
- 2 weeks
Programme facts
- Level
- Short course
- Duration
- 2 weeks
- Language of teaching
- English
- Study mode
- full time
- Credits
- 5 ECTS
- Intakes
- August
About this programme
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
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6.5 overall
- TOEFL iBT83
Source: Study in Denmark - official language requirements
Check if you qualify