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Learning Multimorbidity Patterns from Electronic Health Records Using
  Non-negative Matrix Factorisation
v1v2 (latest)

Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation

19 July 2019
A. Hassaine
D. Canoy
J. R. A. Solares
Yajie Zhu
Shishir Rao
Yikuan Li
Mariagrazia Zottoli
K. Rahimi
G. Salimi-Khorshidi
ArXiv (abs)PDFHTML

Papers citing "Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation"

3 / 3 papers shown
Title
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
60
5
0
01 Sep 2022
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction
  of clinical events using multimodal longitudinal electronic health records
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li
M. Mamouei
G. Salimi-Khorshidi
Shishir Rao
A. Hassaine
D. Canoy
Thomas Lukasiewicz
K. Rahimi
96
81
0
21 Jun 2021
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical
  Notes: An Initial Study
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
D. Dessí
Rim Helaoui
Vivek Kumar (Ph.D)
Diego Reforgiato Recupero
Daniele Riboni
27
44
0
20 May 2021
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