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Deep Representation Learning of Electronic Health Records to Unlock
  Patient Stratification at Scale

Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale

14 March 2020
Isotta Landi
B. Glicksberg
Hao-Chih Lee
S. Cherng
Giulia Landi
M. Danieletto
J. Dudley
Cesare Furlanello
Riccardo Miotto
ArXivPDFHTML

Papers citing "Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale"

10 / 10 papers shown
Title
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
Zekai Wang
Tieming Liu
B. Yao
36
0
0
30 Jun 2024
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
42
11
0
21 Jul 2022
Modeling electronic health record data using a knowledge-graph-embedded
  topic model
Modeling electronic health record data using a knowledge-graph-embedded topic model
Yuesong Zou
Ahmad Pesaranghader
Aman Verma
David L. Buckeridge
Yue Li
12
1
0
03 Jun 2022
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions
  Preceding Alzheimer's Disease Onset in Electronic Health Records
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
Zhe He
Shubo Tian
A. Erdengasileng
N. Charness
Jiang Bian
13
3
0
22 Feb 2022
Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Ziyi Liu
Jiaqi Zhang
Yongshuai Hou
Xinran Zhang
Ge Li
Yang Xiang
17
14
0
09 Nov 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
W. Hsu
B. Chakraborty
Nan Liu
27
83
0
21 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
17
6
0
23 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
21
46
0
09 Jun 2021
Deep Learning with Heterogeneous Graph Embeddings for Mortality
  Prediction from Electronic Health Records
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
Tingyi Wanyan
Hossein Honarvar
A. Azad
Ying Ding
B. Glicksberg
18
19
0
28 Dec 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
25
160
0
02 Oct 2020
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