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. 1703.07004
  4. Cited By
The Use of Autoencoders for Discovering Patient Phenotypes

The Use of Autoencoders for Discovering Patient Phenotypes

20 March 2017
Harini Suresh
Peter Szolovits
Marzyeh Ghassemi
    DRL
ArXivPDFHTML

Papers citing "The Use of Autoencoders for Discovering Patient Phenotypes"

4 / 4 papers shown
Title
PheME: A deep ensemble framework for improving phenotype prediction from
  multi-modal data
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Shenghan Zhang
Haoxuan Li
Ruixiang Tang
Sirui Ding
L. Rasmy
Degui Zhi
Na Zou
Xia Hu
31
5
0
19 Mar 2023
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
41
3
0
30 Apr 2021
Machine Learning and Visualization in Clinical Decision Support: Current
  State and Future Directions
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Gal Levy-Fix
G. Kuperman
Noémie Elhadad
26
12
0
06 Jun 2019
Learning Tasks for Multitask Learning: Heterogenous Patient Populations
  in the ICU
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU
Harini Suresh
Jen J. Gong
John Guttag
28
85
0
07 Jun 2018
1