Comments (2)
Thanks for checking out our work and providing your feedback.
The timings to run each step depend on the cohort you are selecting and how many features you are including in the cohort. In general, it should not take more than a few hours (2 to 4 hours) to run any step. For smaller cohorts it may take only few minutes for each step.
Time for deep learning model training depends on system configuration. A GPU system will train the models much faster than a CPU system.
Below are the hardware and software requirements:
Hardware:
Operating system: Windows 10+ or above/ MacOS 11+
To run the model training using this pipeline you will need GPU configuration similar to NIVIDIA GeForce RTX (8 GB)
Software: Pyhton: 3.7
import_ipynb==0.1.3
ipywidgets==7.5.1
Jinja2==2.11.2
matplotlib==3.2.2
numpy==1.18.5
pandas==1.0.5
scikit_learn==1.0.2
torch==1.6.0
tqdm==4.47.0
Please let us know if you need any more information.
Thanks.
from mimic-iv-data-pipeline.
Great! This is really helpful.
from mimic-iv-data-pipeline.
Related Issues (16)
- Add time information to procedures
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