Closed xinyuejohn closed 6 months ago
Hi, thank you so much for all the kind words! It's my pleasure to see your interest in our work!
Let me briefly answer your questions:
mortality.npy
I am not sure whether it was N
or N*1
. If the first one doesn't work, please try the second alternative. use_mask
as a boolean input. If you specify as false, the code will not use the mask during training or inference. One quick note: The current version of the code may still require you to provide the mask as an input (although not used later on). If that's the case, as a quick hack, you can trivially create your mask with full of 1s, with the same shape of timeseries. Then by setting use_mask=False
, you can ensure that this mask is not used. I hope these clarifications help your project.
My best wishes!
Thanks for your prompt and detailed reply!
@oezyurty Thanks for your guidance; your model significantly impacted my master thesis project. Could I include the CLUDA framework figure from your paper in my master's thesis? It will be used strictly for academic purposes, won't be published or made publicly available, and I will cite your work properly.
Sure! As long as you correctly cite our work also for the caption of the figure, you can use our figure in your thesis :)
Hi, thanks for your amazing work, nice implementations and especially the detailed documentation!
I want to run your code using MIMIC-IV dataset but I had my own data preprocessing pipeline. could you please tell me 1) if my data input format is correct and if I have correct settings? 2) if I can run your cluda network without using mask.
Here's the my data format right now:
Thank you so much!