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View Code? Open in Web Editor NEWCollaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare (IJCAI 2021)
Home Page: https://www.ijcai.org/proceedings/2021/0486
License: MIT License
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare (IJCAI 2021)
Home Page: https://www.ijcai.org/proceedings/2021/0486
License: MIT License
Dear Chang Lu and colleagues,
I am a master's student in data science and working on graph neural networks in the health care domain. I would love to reference and compare to your work. To get the best comparison estimate possible, it would be essential to know what patient split you have used for the published results here: https://www.ijcai.org/proceedings/2021/0486.pdf
Your code here:
Line 45 in b8b8833
CGL/preprocess/build_dataset.py
Line 6 in b8b8833
Would it be feasible for you to share the MIMIC-III patient ids (i.e. the SUBJECT_ID
) for the three splits train/validation/test used in the published results?
Thank you very much for sharing and making your work openly available.
Best regards,
Manuel
from ETH Zürich
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