- This is the code repository accompanying the manuscript "Predicting Acute Graft-versus-Host Disease Using Machine Learning and Lonngitudinal Vital Sign Data from Electronic Health Records".
- Authors: Shengpu Tang, Grant Chappell, Amanda Mazzoli, Muneesh Tewari, Sung Won Choi\*, and Jenna Wiens\*
- Authors: Shengpu Tang, Grant Chappell, Amanda Mazzoli, Muneesh Tewari, Sung Won Choi\*, and Jenna Wiens\*
\*: senior authors of equal contribution
## Dependencies
See: requirements.txt
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@@ -19,6 +21,8 @@ See: requirements.txt
- joblib 0.14.0
## Data
We provide anonymized patient data used in this study, including the static variables, vital sign data, and the outcome labels. A detailed description of the data can be found in the paper and the [supplemental materials](data/JCO_CCI_Supplement.pdf).
By downloading and using the content in this repository, you agree to comply with the following guiding principles for accessing authors’ original data and code:
1. I will acknowledge the authors (Tang, et al.) of this study in future publications featuring the dataset or code that has been made available to me.
2. I may not make any attempt to identify or contact individuals whose individual-level information is contained in the dataset entrusted to me.
