ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.11680
  4. Cited By
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"

2 / 2 papers shown
Title
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
167
3,799
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
228
31,150
0
16 Jan 2013
1