Hi authors,
I am trying to recreate the temporal dataset you used in your paper. I noticed in your preprocessing folder under the 'create_temporal_dataset.ipynb', that you used 'master.csv' file, please can you explain how this file was generated.
Also, in the datasets folder, you have another file 'temporal_mimic_cxr_dataset.py' where you used 'mimic_annotation.json' file.
Can you explain which of the longitudinal data you used, the one from the preprocessing folder or the one from the datasets folder? How was the 'master.csv' file and 'mimic_annotation.json' file created?
dataset = TemporalMIMICCXRDataset(
annotation_file="/home/r15user2/Documents/CXR_dataset/temporal_CXR/mimic_annotation.json",
dataset_dir="/home/r15user2/Documents/CXR_dataset/mimic_data/2.0.0/files",
split="train",
train_data_pct=1,
tokenizer=tokenizer
)
Hi authors,
I am trying to recreate the temporal dataset you used in your paper. I noticed in your preprocessing folder under the 'create_temporal_dataset.ipynb', that you used 'master.csv' file, please can you explain how this file was generated.
Also, in the datasets folder, you have another file 'temporal_mimic_cxr_dataset.py' where you used 'mimic_annotation.json' file.
Can you explain which of the longitudinal data you used, the one from the preprocessing folder or the one from the datasets folder? How was the 'master.csv' file and 'mimic_annotation.json' file created?
dataset = TemporalMIMICCXRDataset(
annotation_file="/home/r15user2/Documents/CXR_dataset/temporal_CXR/mimic_annotation.json",
dataset_dir="/home/r15user2/Documents/CXR_dataset/mimic_data/2.0.0/files",
split="train",
train_data_pct=1,
tokenizer=tokenizer
)