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Clinical Concept Embeddings Learned from Massive Sources of Multimodal
  Medical Data

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

4 April 2018
Andrew L. Beam
Benjamin Kompa
A. Schmaltz
Inbar Fried
G. Weber
N. Palmer
Xu Shi
Tianxi Cai
I. Kohane
ArXivPDFHTML

Papers citing "Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data"

16 / 16 papers shown
Title
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Paul Landes
Jimeng Sun
Adam Cross
33
0
0
06 May 2025
Hierarchical Pretraining for Biomedical Term Embeddings
Hierarchical Pretraining for Biomedical Term Embeddings
Bryan Cai
Sihang Zeng
Yucong Lin
Zheng Yuan
D. Zhou
Lu Tian
28
0
0
01 Jul 2023
Bioformer: an efficient transformer language model for biomedical text
  mining
Bioformer: an efficient transformer language model for biomedical text mining
Li Fang
Qingyu Chen
Chih-Hsuan Wei
Zhiyong Lu
Kai Wang
MedIm
AI4CE
32
18
0
03 Feb 2023
Predefined domain specific embeddings of food concepts and recipes: A
  case study on heterogeneous recipe datasets
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets
Gordana Ispirova
T. Eftimov
B. Korousic-Seljak
22
4
0
02 Feb 2023
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai
Dong Xia
Luwan Zhang
D. Zhou
26
1
0
28 Sep 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright
David Wadden
Kyle Lo
Bailey Kuehl
Arman Cohan
Isabelle Augenstein
Lucy Lu Wang
MedIm
47
54
0
24 Mar 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
52
30
0
25 Jan 2022
CEHR-BERT: Incorporating temporal information from structured EHR data
  to improve prediction tasks
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Chao Pang
Xinzhuo Jiang
Krishna S. Kalluri
M. Spotnitz
Ruijun Chen
A. Perotte
Karthik Natarajan
OOD
11
58
0
10 Nov 2021
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
26
6
0
27 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
19
154
0
07 Jul 2021
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
24
13
0
14 Jun 2021
CODER: Knowledge infused cross-lingual medical term embedding for term
  normalization
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Zheng Yuan
Zhengyun Zhao
Haixia Sun
Jiao Li
Fei Wang
Sheng Yu
MedIm
21
95
0
05 Nov 2020
Multi-domain Clinical Natural Language Processing with MedCAT: the
  Medical Concept Annotation Toolkit
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Z. Kraljevic
Thomas Searle
Anthony Shek
Lukasz Roguski
Kawsar Noor
...
A. Shah
W. K. Wong
Zina M. Ibrahim
J. Teo
Richard J. B. Dobson
AI4MH
33
161
0
02 Oct 2020
A Deep Learning Pipeline for Patient Diagnosis Prediction Using
  Electronic Health Records
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records
Leopold Franz
Yash Raj Shrestha
B. Paudel
OOD
12
24
0
23 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
21
656
0
22 May 2020
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
13
325
0
12 Jun 2019
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