HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

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Deep LearningHiPAL
Overview

HiPAL

Code for KDD'22 Applied Data Science Track submission -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

image

Setup

pip install requirements.txt

To Run

Parse activities from EHR log files:

python log_parsing.py

Run HiPAL and its variants:

bash bash/run_hitcn_cv.sh

Run single-level models (FCN, CausalNet, ResTCN):

bash bash/run_single_level.sh

Run hierarchial RNNs (H-RNN, HiGRU):

bash bash/run_higru_cv.sh

Interpretable Burnout Prediction

image

Owner
Hanyang Liu
PhD student in Computer Science
Hanyang Liu
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