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Summer School - Data Science in Clinical Practice, 2022, Utrecht University, Netherlands

Publish Date: May 01, 2022

Deadline: Dec 31, 2023

Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health benefit (failure due to lack of clinical utility).
The current courses focus on the latter and provides the foundation necessary to plan and conduct clinical evaluation of machine learning solutions to fairly assess their contribution to clinical practice. Specifically, using relevant case studies you will learn:

  • A short introduction on prognostication and machine learning,
  • Field usability and feasibility analyses,
  • Early clinical evaluation,
  • Introduction to causal inference,
  • Limitations of traditional RCTs and alternative designs for clinical evaluations,
  • Critical considerations of front-end-development

Target audience
Healthcare professionals

Study load
20-40 hours

Course fee: €0


  • Fee covers
  • Course + course materials

For more information click "LINK TO ORIGINAL" below.  

Further Official Information

Link to Original

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