Artificial Intelligence Learners in Health Science

Graduate Programme in Public Health

Contents
Classification and prediction are major aspects of health science. The course aim to introduce recent methodology of statistical learning that has proven useful at least in assisted diagnostics and prediction, useful in detecting patterns and is expected to play an increasing role in clinical settings. 
Main topics to be covered:
- Artificial intelligence - what is it?
- Design of studies using AI.
- Evaluation of classification and prediction using AI.
- The patient and AI.

Aim:
The participant will obtain knowledge and understanding of modern statistical learners. Competence to identify basic design, relevant analysis and evaluate the outcome in settings of both research and practice.   

Teaching arrangement: Lectures, worked examples, exercises and web-based multiple choice exam

Course leader: Professor Jacob Hjelmborg, IST - EBB/Epidemiology, Biostatistics and Biodemography, SDU

Max number of participants: 36 PhD students

ECTS credits: 1,8

Course Fee:
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 3501,-

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