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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

Journal of Biomedical Informatics (JBI), 2019
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"

6 / 6 papers shown
Interpreting deep embeddings for disease progression clustering
Interpreting deep embeddings for disease progression clustering
Anna Munoz-Farre
Antonios Poulakakis-Daktylidis
Dilini M. Kothalawala
A. Rodriguez-Martinez
288
1
0
12 Jul 2023
sEHR-CE: Language modelling of structured EHR data for efficient and
  generalizable patient cohort expansion
sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion
Anna Munoz-Farre
Harry Rose
S. A. Cakiroglu
168
5
0
30 Nov 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
233
10
0
01 Sep 2022
Transfer Learning in Electronic Health Records through Clinical Concept
  Embedding
Transfer Learning in Electronic Health Records through Clinical Concept Embedding
J. R. A. Solares
Yajie Zhu
A. Hassaine
Shishir Rao
Yikuan Li
M. Mamouei
D. Canoy
K. Rahimi
G. Salimi-Khorshidi
292
6
0
27 Jul 2021
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 recordsIEEE journal of biomedical and health informatics (JBHI), 2021
Yikuan Li
M. Mamouei
G. Salimi-Khorshidi
Shishir Rao
A. Hassaine
D. Canoy
Thomas Lukasiewicz
K. Rahimi
264
132
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
254
50
0
20 May 2021
1
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