HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records-Reference-Cited by-同舟云学术

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

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Liu Hanyang¹,Lou Sunny S.¹,Warner Benjamin C.¹,Harford Derek R.¹,Kannampallil Thomas¹,Lu Chenyang¹

Affiliation:

1. Washington University in St. Louis, St. Louis, MO, USA

Funder

Washington University/BJC HealthCare Big Ideas Healthcare Innovation Award

Fullgraf Foundation

NIH

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539056

Reference43 articles.

1. Bai , S. , Kolter , J. Z. , and Koltun , V . An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 ( 2018 ). Bai, S., Kolter, J. Z., and Koltun, V. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 (2018).

2. Bauernhofer , K. , Bassa , D. , Canazei , M. , Jiménez , P. , Paechter , M. , Papousek , I. , Fink , A. , and Weiss , E. M . Subtypes in clinical burnout patients enrolled in an employee rehabilitation program: differences in burnout profiles, depression, and recovery/resources-stress balance. BMC psychiatry 18, 1 ( 2018 ), 1--13. Bauernhofer, K., Bassa, D., Canazei, M., Jiménez, P., Paechter, M., Papousek, I., Fink, A., and Weiss, E. M. Subtypes in clinical burnout patients enrolled in an employee rehabilitation program: differences in burnout profiles, depression, and recovery/resources-stress balance. BMC psychiatry 18, 1 (2018), 1--13.

3. Measures of electronic health record use in outpatient settings across vendors;Baxter S. L.;JAMIA,2021

4. Beltagy , I. , Peters , M. E. , and Cohan , A . Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 ( 2020 ). Beltagy, I., Peters, M. E., and Cohan, A. Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 (2020).

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures;Mayo Clinic Proceedings;2024-09

2. Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. LogTransformer: Transforming IT System Logs Into Events Using Tree-Based Approach;IEEE Transactions on Network and Service Management;2024-08

4. Burnout in Cybersecurity Incident Responders: Exploring the Factors that Light the Fire;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

5. Measuring the cognitive effort associated with task switching in routine EHR-based tasks;Journal of Biomedical Informatics;2023-05