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Description
Description of feature
Our tutorials suffer from at least the following issues:
- They are too long and verbose.
- They do not suggest best practices or which of the many options to use.
- They do not explain how to work with time series data
- They are hard to navigate because of a weird sidebar structure and the sphinx gallery.
Therefore, I suggest that we:
- Remove the sphinx gallery and just use text links. A very smart friend of mine told me years ago that this is the way to go.
- Use lots of dropdowns to explain details but not make the tutorials seem too long.
- Use lots of
see alsosections to refer to other parts of the documentation and especially the API. Instead of showing 5 survival analysis functions in one big tutorial, we should show off one and then refer to the API for the other options. - Use a more clear structure for the tutorials like:
What we really need is a complete ehrdata example dataset which has every slot populated. No matter how, even if we just add some random stuff to the physionet one. @eroell
-10 minutes to ehrapy (anndata, ehrdata, scanpy, ehrapy) which replaces and merges the current introduction to ehrapy and MIMIC-II IAC if possible. Also introduces the readers and file formats.
- Working with time series data (lots of work needed to get this ready)
- Working with text data (medcat and ontology mapping)
- Survival analysis
- Trajectory inference
- Causal analysis (causal discovery (NA) & causal inference)
- Bias detection (merges with cohort tracking)
- Machine learning (simple model, deep learning & time series, dataloaders & sampling)
- Using ehrapy with large datasets
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