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

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

24 May 2022
Hanyang Liu
Sunny S. Lou
Benjamin C. Warner
Derek Harford
Thomas Kannampallil
Chenyang Lu
    LM&MA
    HAI
ArXivPDFHTML

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

3 / 3 papers shown
Title
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence
  Autoencoder Networks
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
Hanyang Liu
Michael C. Montana
Dingwen Li
Chase Renfroe
Thomas Kannampallil
Chenyang Lu
28
2
0
30 Apr 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,885
0
14 Dec 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
278
31,267
0
16 Jan 2013
1