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From Free Text to Clusters of Content in Health Records: An Unsupervised
  Graph Partitioning Approach

From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach

14 November 2018
M. Altuncu
Erik Mayer
S. Yaliraki
Mauricio Barahona
ArXiv (abs)PDFHTML

Papers citing "From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach"

4 / 4 papers shown
Title
LGDE: Local Graph-based Dictionary Expansion
LGDE: Local Graph-based Dictionary Expansion
Dominik J. Schindler
Sneha Jha
Xixuan Zhang
Kilian Buehling
Annett Heft
Mauricio Barahona
63
0
0
13 May 2024
Graph-based Topic Extraction from Vector Embeddings of Text Documents:
  Application to a Corpus of News Articles
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles
M. Altuncu
S. Yaliraki
Mauricio Barahona
17
9
0
28 Oct 2020
Graph-based data clustering via multiscale community detection
Graph-based data clustering via multiscale community detection
Zijing Liu
Mauricio Barahona
39
48
0
06 Sep 2019
Extracting information from free text through unsupervised graph-based
  clustering: an application to patient incident records
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
M. Altuncu
Eloise Sorin
Joshua Symons
Erik Mayer
S. Yaliraki
Francesca Toni
Mauricio Barahona
19
1
0
31 Aug 2019
1