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v1v2 (latest)

Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

24 August 2019
Najibesadat Sadati
Milad Zafar Nezhad
R. Chinnam
D. Zhu
    BDLOOD
ArXiv (abs)PDFHTML

Papers citing "Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study"

4 / 4 papers shown
Fair Patient Model: Mitigating Bias in the Patient Representation
  Learned from the Electronic Health Records
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health RecordsJournal of Biomedical Informatics (JBI), 2023
Sonish Sivarajkumar
Yufei Huang
Yanshan Wang
156
9
0
05 Jun 2023
An Empirical Study of Representation Learning for Reinforcement Learning
  in Healthcare
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Taylor W. Killian
Haoran Zhang
Jayakumar Subramanian
Mehdi Fatemi
Marzyeh Ghassemi
OffRL
227
48
0
23 Nov 2020
Deep Representation Learning of Patient Data from Electronic Health
  Records (EHR): A Systematic Review
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
254
212
0
06 Oct 2020
A Deep Active Survival Analysis Approach for Precision Treatment
  Recommendations: Application of Prostate Cancer
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Milad Zafar Nezhad
Najibesadat Sadati
Kai Yang
D. Zhu
199
66
0
10 Apr 2018
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