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Improving Clinical Predictions through Unsupervised Time Series
  Representation Learning

Improving Clinical Predictions through Unsupervised Time Series Representation Learning

2 December 2018
Xinrui Lyu
Matthias Huser
Stephanie L. Hyland
George Zerveas
Gunnar Rätsch
    SSL
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Improving Clinical Predictions through Unsupervised Time Series Representation Learning"

15 / 15 papers shown
Title
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
49
0
0
14 Feb 2025
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia
Jin Cui
Alexander Capstick
Payam Barnaghi
Gregory Scott
65
0
0
13 Feb 2025
Learning to Select the Best Forecasting Tasks for Clinical Outcome
  Prediction
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
57
0
0
28 Jul 2024
Generative modeling for time series via Schr{ö}dinger bridge
Generative modeling for time series via Schr{ö}dinger bridge
Mohamed Hamdouche
P. Henry-Labordère
H. Pham
AI4TS
DiffM
OT
41
11
0
11 Apr 2023
Convolution-enhanced Evolving Attention Networks
Convolution-enhanced Evolving Attention Networks
Yujing Wang
Yaming Yang
Zhuowan Li
Jiangang Bai
Mingliang Zhang
Xiangtai Li
Jiahao Yu
Ce Zhang
Gao Huang
Yu Tong
ViT
29
6
0
16 Dec 2022
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for
  Multivariate Time Series
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng
Hangwei Qian
Yong Liu
Li-zhen Cui
Yonghui Xu
Zhiqi Shen
AI4TS
36
33
0
02 Dec 2022
Self-supervised Representation Learning on Electronic Health Records
  with Graph Kernel Infomax
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Hao-Ren Yao
Nairen Cao
Katina Russell
D. Chang
O. Frieder
Jeremy T. Fineman
SSL
25
1
0
01 Sep 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
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
26
154
0
07 Jul 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
26
46
0
09 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
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh
T. Zhu
David Clifton
33
186
0
27 May 2020
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's
  Disease Classification of Gait Patterns
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns
Anirudh Som
Narayanan Krishnamurthi
M. Buman
Pavan Turaga
OOD
10
12
0
06 May 2020
Medical Time Series Classification with Hierarchical Attention-based
  Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin
Beilei Xu
Wencheng Wu
Trevor W. Richardson
Edgar A. Bernal
23
28
0
28 Mar 2019
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
220
7,930
0
17 Aug 2015
1