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Hello, I have a question regarding time axes data handling in Ricu.
How could we recreate p1 from p2 ? (reference ricu pdf p.6-7. I.e. we have two multiple sets of features, each with its own axes.
This varies per dataset since there are multiple time axes. for each (5 for mimic and 7 for eicu), the features are grouped differently for each. Is there some guideline unifying time axes? should we use specific functions for some APIs ?
(I load all concepts individually - for size/speed reasons ) ricu::load_concepts(column_name, src_name, verbose = FALSE)
Have a nice day and thank you for your help!
The text was updated successfully, but these errors were encountered:
partizanos
changed the title
Question regarding reconstruction of cross ICU stays for single admission/patient or how to unify time axes within the same dataset ?
How to unify time axes within the same dataset ?
Jun 25, 2024
Hello, I have a question regarding time axes data handling in Ricu.
How could we recreate p1 from p2 ? (reference ricu pdf p.6-7. I.e. we have two multiple sets of features, each with its own axes.
This varies per dataset since there are multiple time axes. for each (5 for mimic and 7 for eicu), the features are grouped differently for each. Is there some guideline unifying time axes? should we use specific functions for some APIs ?
(I load all concepts individually - for size/speed reasons )
ricu::load_concepts(column_name, src_name, verbose = FALSE)
Have a nice day and thank you for your help!
The text was updated successfully, but these errors were encountered: