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Medical Concept Representation Learning from Electronic Health Records
  and its Application on Heart Failure Prediction

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

11 February 2016
Edward Choi
A. Schuetz
Walter F. Stewart
Jimeng Sun
ArXivPDFHTML

Papers citing "Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction"

28 / 28 papers shown
Title
An Interpretable Deep-Learning Framework for Predicting Hospital
  Readmissions From Electronic Health Records
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
Fabio Azzalini
Tommaso Dolci
Marco Vagaggini
OOD
16
1
0
16 Oct 2023
Assessing mortality prediction through different representation models
  based on concepts extracted from clinical notes
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes
Hoda Memarzadeh
Nasser Ghadiri
Maryam Lotfi Shahreza
34
0
0
22 Jul 2022
Learning to Adapt Clinical Sequences with Residual Mixture of Experts
Learning to Adapt Clinical Sequences with Residual Mixture of Experts
Jeong Min Lee
Milos Hauskrecht
AI4TS
19
0
0
06 Apr 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
35
32
0
14 Mar 2022
Compensating trajectory bias for unsupervised patient stratification
  using adversarial recurrent neural networks
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
A. Javer
O. Parsons
Oliver Carr
J. Baxter
C. Diedrich
E. Elcci
Steffen Schaper
K. Coboeken
Robert Durichen
16
1
0
14 Dec 2021
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in Healthcare
M. Morid
O. R. Sheng
Josef A. Dunbar
OOD
AI4TS
27
106
0
30 Aug 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
A Study into patient similarity through representation learning from
  medical records
A Study into patient similarity through representation learning from medical records
Hoda Memarzadeh
Nasser Ghadiri
Matthias Samwald
Maryam Lotfi Shahreza
51
6
0
29 Apr 2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive
  Care Units
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Yilmazcan Ozyurt
Mathias Kraus
Tobias Hatt
Stefan Feuerriegel
24
34
0
09 Feb 2021
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of
  Heart Failure Patients
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Oliver Carr
Stojan Jovanovic
L. Albergante
Fernando Andreotti
Robert Durichen
Nadia Lipunova
J. Baxter
Rabia T. Khan
B. Irving
19
4
0
24 Dec 2020
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting
  Time-varying Confounding in Modern Longitudinal Observational Data
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Yanbo Xu
Cao Xiao
Jimeng Sun
BDL
OOD
CML
8
1
0
28 Oct 2020
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality
  Prediction
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
E. Jun
A. Mulyadi
Jaehun Choi
Heung-Il Suk
30
20
0
02 Mar 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
Med2Meta: Learning Representations of Medical Concepts with
  Meta-Embeddings
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
Shaika Chowdhury
Chenwei Zhang
Philip S. Yu
Yuan Luo
20
7
0
06 Dec 2019
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
Mixed Pooling Multi-View Attention Autoencoder for Representation
  Learning in Healthcare
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury
Chenwei Zhang
Philip S. Yu
Yuan Luo
21
13
0
14 Oct 2019
DeepHealth: Review and challenges of artificial intelligence in health
  informatics
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
33
26
0
01 Sep 2019
Training Optimus Prime, M.D.: Generating Medical Certification Items by
  Fine-Tuning OpenAI's gpt2 Transformer Model
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model
M. Davier
MedIm
LM&MA
22
10
0
23 Aug 2019
Evaluation of Embeddings of Laboratory Test Codes for Patients at a
  Cancer Center
Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center
Lorenzo A. Rossi
Chad Shawber
Janet Munu
F. Zachariah
14
4
0
22 Jul 2019
Interpretable Segmentation of Medical Free-Text Records Based on Word
  Embeddings
Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings
A. Dobrakowski
A. Mykowiecka
M. Marciniak
Wojciech Jaworski
P. Biecek
17
0
0
03 Jul 2019
Inpatient2Vec: Medical Representation Learning for Inpatients
Inpatient2Vec: Medical Representation Learning for Inpatients
Ying Wang
Xiao Xu
Tao Jin
Xiang Li
Guotong Xie
Jianmin Wang
AI4TS
24
21
0
18 Apr 2019
Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a
  Taxonomy
Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy
Rohollah Soltani
A. Tomberg
9
0
0
11 Apr 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
Application of Clinical Concept Embeddings for Heart Failure Prediction
  in UK EHR data
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data
Spiros C. Denaxas
Pontus Stenetorp
Sebastian Riedel
M. Pikoula
Richard J. B. Dobson
H. Hemingway
14
8
0
23 Nov 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient
  Monitoring Data
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
27
163
0
23 Jul 2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for
  Electronic Health Record (EHR) Analysis
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
BDL
31
1,094
0
12 Jun 2017
Control Matching via Discharge Code Sequences
Control Matching via Discharge Code Sequences
Dang Nguyen
Wei Luo
Dinh Q. Phung
Svetha Venkatesh
108
4
0
02 Dec 2016
Multi-layer Representation Learning for Medical Concepts
Multi-layer Representation Learning for Medical Concepts
Edward Choi
M. T. Bahadori
Elizabeth Searles
Catherine Coffey
Jimeng Sun
SSL
AI4TS
6
503
0
17 Feb 2016
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