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. 2209.00322
  4. Cited By
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

1 September 2022
Florian Becker
A. Smilde
E. Acar
ArXivPDFHTML

Papers citing "Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions"

2 / 2 papers shown
Title
An AO-ADMM approach to constraining PARAFAC2 on all modes
An AO-ADMM approach to constraining PARAFAC2 on all modes
M. Roald
Carla Schenker
Vince D. Calhoun
Tülay Adalı
R. Bro
Jérémy E. Cohen
E. Acar
41
23
0
04 Oct 2021
Natural Language Processing for EHR-Based Computational Phenotyping
Natural Language Processing for EHR-Based Computational Phenotyping
Zexian Zeng
Yu Deng
Xiaoyu Li
Tristan Naumann
Yuan Luo
34
147
0
13 Jun 2018
1