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Can Embeddings Adequately Represent Medical Terminology? New Large-Scale
  Medical Term Similarity Datasets Have the Answer!

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

24 March 2020
Claudia Schulz
Damir Juric
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!"

4 / 4 papers shown
Title
Leveraging knowledge graphs to update scientific word embeddings using
  latent semantic imputation
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation
J. Hoelscher-Obermaier
Edward Stevinson
V. Stauber
Ivaylo Zhelev
Victor Botev
R. Wu
J. Minton
58
0
0
27 Oct 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
116
6
0
27 Jul 2021
A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
Katikapalli Subramanyam Kalyan
S. Sangeetha
67
9
0
25 Jan 2021
Biomedical Concept Relatedness -- A large EHR-based benchmark
Biomedical Concept Relatedness -- A large EHR-based benchmark
Claudia Schulz
Josh Levy-Kramer
C. V. Assel
Miklos Kepes
Nils Y. Hammerla
36
8
0
30 Oct 2020
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