This is a repository for showcasing Tang Yihan's work for STAT 3622 final project. This project is part of his research attempts to work on EHR (Electronic Health Records).
For simplicity, this repository only shows key data processing and modeling.
It should be noted that in order to work on MIMIC-III dataset, one should first get access to MIMIC-III dataset. The link is here: https://physionet.org/content/mimiciii/1.4/ 😁
common_utils.py: important functions for further modeling.
main.py: implements a logistic regression model for the In-hospital Mortality task.
main_cf.py: implements a logistic regression model for the Length of Stay task. Particularly, the author has tried both softmax and one v. all appproaches. The author found that softmax performs better.
softmax.py: The softmax appraoch of logistic regression
readers.py: read in raw data and formulate them into structured data.
split_train_val.py: perform the train validation split.