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Multi-layer Representation Learning for Medical Concepts

Multi-layer Representation Learning for Medical Concepts

17 February 2016
Edward Choi
M. T. Bahadori
Elizabeth Searles
Catherine Coffey
Jimeng Sun
    SSL
    AI4TS
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Papers citing "Multi-layer Representation Learning for Medical Concepts"

50 / 58 papers shown
Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
243
0
0
15 Feb 2025
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
P. Renc
Michal K. Grzeszczyk
Nassim Oufattole
Deirdre Goode
Y. Jia
...
J. Was
A. E. Samir
Jonathan W. Cunningham
D. W. Bates
Arkadiusz Sitek
51
1
0
10 Feb 2025
High-Dimension Human Value Representation in Large Language Models
High-Dimension Human Value Representation in Large Language Models
Samuel Cahyawijaya
Delong Chen
Yejin Bang
Leila Khalatbari
Bryan Wilie
Ziwei Ji
Etsuko Ishii
Pascale Fung
71
5
0
11 Apr 2024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Tianxi Cai
Feiqing Huang
Ryumei Nakada
Linjun Zhang
Doudou Zhou
61
0
0
22 Mar 2024
Personalized Event Prediction for Electronic Health Records
Personalized Event Prediction for Electronic Health Records
Jeong Min Lee
Milos Hauskrecht
23
0
0
21 Aug 2023
Knowledge Graph Embedding with Electronic Health Records Data via Latent
  Graphical Block Model
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model
Junwei Lu
Jin Yin
Tianxi Cai
33
3
0
31 May 2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning
  Framework for Electronic Health Record Analysis
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis
Changshuo Liu
Wenqiao Zhang
Beng Chin Ooi
J. Yip
Lingze Zeng
Kaiping Zheng
14
1
0
10 Apr 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
27
4
0
02 Feb 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
11
4
0
30 Nov 2022
Two Is Better Than One: Dual Embeddings for Complementary Product
  Recommendations
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations
Giorgi Kvernadze
P. A. Sudyanti
N. Subedi
Mohammadtaghi Hajiaghayi
30
2
0
28 Nov 2022
Towards Neural Numeric-To-Text Generation From Temporal Personal Health
  Data
Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data
Jon Harris
Mohammed J Zaki
AI4TS
32
2
0
11 Jul 2022
Enriching Unsupervised User Embedding via Medical Concepts
Enriching Unsupervised User Embedding via Medical Concepts
Xiaolei Huang
Franck Dernoncourt
Mark Dredze
23
3
0
20 Mar 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
37
32
0
14 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
33
119
0
08 Feb 2022
Unifying Heterogeneous Electronic Health Records Systems via Text-Based
  Code Embedding
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
Kyunghoon Hur
Jiyoung Lee
Jungwoo Oh
Wesley Price
Young-Hak Kim
Edward Choi
43
17
0
08 Aug 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
34
6
0
27 Jul 2021
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
32
84
0
21 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
28
154
0
07 Jul 2021
Transformer-based unsupervised patient representation learning based on
  medical claims for risk stratification and analysis
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng
Simon M. Lin
Chang Liu
30
6
0
23 Jun 2021
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Shuwen Wang
Xingquan Zhu
OOD
34
25
0
16 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CML
SSL
AI4TS
27
284
0
01 Jun 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
32
64
0
17 Jan 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
29
95
0
05 Nov 2020
A Review of Deep Learning Methods for Irregularly Sampled Medical Time
  Series Data
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun
linda Qiao
Moxian Song
Hongyan Li
AI4TS
OOD
38
56
0
23 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health
  Records (EHR): A Systematic Review
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
21
154
0
06 Oct 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction
  with Representation Learning and Temporal Convolutional Network
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network
Xing Wang
Yijun Wang
Bin Weng
Aleksandr Vinel
AIFin
AI4TS
34
11
0
29 Sep 2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical
  Outcomes
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Xueping Peng
Guodong Long
Tao Shen
Sen Wang
Jing Jiang
Chengqi Zhang
14
15
0
24 Sep 2020
Pay Attention to Evolution: Time Series Forecasting with Deep
  Graph-Evolution Learning
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Gabriel Spadon
linda Qiao
Bruno Brandoli
Stan Matwin
Jose F. Rodrigues-Jr
Jimeng Sun
AI4TS
31
57
0
28 Aug 2020
Estimating Individual Treatment Effects with Time-Varying Confounders
Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu
Changchang Yin
Ping Zhang
CML
31
27
0
27 Aug 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
38
17
0
27 May 2020
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer
  Representation Learning
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Byungsoo Jeon
Namyong Park
Seo-Jin Bang
OOD
23
9
0
05 Feb 2020
Secondary Use of Electronic Health Record: Opportunities and Challenges
Secondary Use of Electronic Health Record: Opportunities and Challenges
S. M. Shah
Rizwan Ahmed Khan
23
77
0
26 Jan 2020
Language Models Are An Effective Patient Representation Learning
  Technique For Electronic Health Record Data
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
E. Steinberg
Kenneth Jung
Jason Alan Fries
Conor K. Corbin
Stephen R. Pfohl
N. Shah
29
103
0
06 Jan 2020
Obesity Prediction with EHR Data: A deep learning approach with
  interpretable elements
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements
Mehak Gupta
T. Phan
Timothy Bunnell
Rahmatollah Beheshti
30
67
0
05 Dec 2019
Representation Learning for Electronic Health Records
Representation Learning for Electronic Health Records
W. Weng
Peter Szolovits
36
19
0
19 Sep 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati
Milad Zafar Nezhad
R. Chinnam
D. Zhu
BDL
OOD
24
16
0
24 Aug 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical
  Knowledge Base for Healthcare Analytics
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Khushbu Agarwal
T. Eftimov
Raghavendra Addanki
Sutanay Choudhury
S. Tamang
R. Rallo
31
22
0
19 Jul 2019
Learning the Graphical Structure of Electronic Health Records with Graph
  Convolutional Transformer
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi
Zhen Xu
Yujia Li
Michael W. Dusenberry
Gerardo Flores
Yuan Xue
Andrew M. Dai
MedIm
24
238
0
11 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current
  State and Future Directions
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Gal Levy-Fix
G. Kuperman
Noémie Elhadad
26
12
0
06 Jun 2019
MedGCN: Medication recommendation and lab test imputation via graph
  convolutional networks
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
Chengsheng Mao
Liang Yao
Yuan Luo
GNN
31
48
0
31 Mar 2019
Learning Hierarchical Representations of Electronic Health Records for
  Clinical Outcome Prediction
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
Luchen Liu
Haoran Li
Zhiting Hu
Haoran Shi
Zichang Wang
Jian Tang
Ming Zhang
BDL
24
29
0
20 Mar 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Katikapalli Subramanyam Kalyan
S. Sangeetha
17
81
0
04 Mar 2019
Learning Deep Representations from Clinical Data for Chronic Kidney
  Disease
Learning Deep Representations from Clinical Data for Chronic Kidney Disease
D. Luong
V. Chandola
31
1
0
01 Oct 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu
Wenlin Wang
Wen Liu
Lawrence Carin
MedIm
FedML
35
84
0
12 Sep 2018
Predicting Acute Kidney Injury at Hospital Re-entry Using
  High-dimensional Electronic Health Record Data
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
Samuel J. Weisenthal
C. Quill
S. Farooq
Henry A. Kautz
M. Zand
OOD
28
14
0
25 Jul 2018
Jointly Embedding Entities and Text with Distant Supervision
Jointly Embedding Entities and Text with Distant Supervision
Denis R. Newman-Griffis
A. Lai
Eric Fosler-Lussier
34
30
0
09 Jul 2018
Medical Concept Embedding with Time-Aware Attention
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai
Jinyang Gao
K. Ngiam
Beng Chin Ooi
Ying Zhang
Xiaojie Yuan
32
64
0
06 Jun 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent
  Neural Networks on Electronic Medical Records
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon
Min-Je Choi
J. Kim
Edward Choi
Young Bin Kim
Soonwook Kwon
Jimeng Sun
Jaegul Choo
42
251
0
28 May 2018
Chief complaint classification with recurrent neural networks
Chief complaint classification with recurrent neural networks
Scott H. Lee
Drew Levin
Patrick D. Finley
C. Heilig
21
30
0
19 May 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
Ting-Li Chen
Wenjun Wu
Yizhou Sun
Majid Sarrafzadeh
19
50
0
22 Apr 2018
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