In the eHealth-KD challenge context, the selection of which algorithms and hyper-parameters to use for each subtask can be framed as a classic AutoML problem.
there are additional high-level decisions, such as whether to solve subtasks sequentially or combined, that cannot be easily represented in traditional AutoML frameworks.