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KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
When I executing "preprocess mimic III data" according to readme, main.py Unable to execute because the variable feat_list in generate_value_distribution.py is None. After debugging, I found that this is because in the data / mimic / train_groundtruth dictionary, there is no .csv files. I noticed that you deleted the. csv file in this folder in some steps. I modified the relevant code, but it's still report error. So I'd like to ask if there are some codes that need to be modified in the "preprocess mimic III data".
Hello, Dr. Yin.
I'm very interested in your work using weighted kmeans for clustering. I want to know how to calculate p-value. Would you please provide me with relevant reference materials about it? In addition, the center of cluster is needed when calculating CHI and CBI. In this work, multi-dimensional time series data with different length are clustered, so how to get the center of the cluster?
Looking forward to your reply. Thank you!
Thanks your brilliant work.
As you said that we could generate pivoted files by the MIT-LCP/mimic-code.
While I didn't find the related code to translate the *.sql files to *.csv files.
Could you provide your generate scripts ?
Thank you sooooo much 😊 .
Hi, I found your work is interesting.
In processing of my own implementation, I have some issues.
If I have mimic iv dataset, will it work with your preprocessing codes, as I find the mimic iv and iii have different structures?
In addition, since I have mimic iv dataset, how can I generate this file "icu_hadm_dict.json" ? . I found this file is the initial input to your 1st preprocessing "preprocess_mimic_data.py".
Thank you.
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