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Attend and Diagnose: Clinical Time Series Analysis using Attention
  Models

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

10 November 2017
Huan-Zhi Song
Deepta Rajan
Jayaraman J. Thiagarajan
A. Spanias
    MLAU
ArXivPDFHTML

Papers citing "Attend and Diagnose: Clinical Time Series Analysis using Attention Models"

50 / 50 papers shown
Title
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
Jesus Lovon
Thouria Ben-Haddi
Jules Di Scala
José G. Moreno
L. Tamine
60
2
0
29 Apr 2025
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
Yubo Li
Xinyu Yao
R. Padman
FAtt
AI4TS
52
0
0
25 Mar 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
J. T. Wang
47
0
0
25 Feb 2025
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
Sujeong Im
Jungwoo Oh
E. Choi
BDL
LM&MA
48
0
0
20 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey
Positional Encoding in Transformer-Based Time Series Models: A Survey
Habib Irani
Vangelis Metsis
AI4TS
53
0
0
17 Feb 2025
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
144
0
0
15 Feb 2025
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Daniel Jarrett
Jinsung Yoon
Ioana Bica
Zhaozhi Qian
A. Ercole
M. Schaar
AI4TS
21
35
0
28 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
32
4
0
12 Oct 2023
MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV
  Generation Forecasting
MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting
M. Tortora
F. Conte
G. Natrella
Paolo Soda
14
1
0
17 Jun 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal
  and Channel Mixing
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Zhe Li
Zhongwen Rao
Lujia Pan
Zenglin Xu
AI4TS
30
60
0
09 Feb 2023
Convolution-enhanced Evolving Attention Networks
Convolution-enhanced Evolving Attention Networks
Yujing Wang
Yaming Yang
Zhuowan Li
Jiangang Bai
Mingliang Zhang
Xiangtai Li
J. Yu
Ce Zhang
Gao Huang
Yu Tong
ViT
24
6
0
16 Dec 2022
Towards the Practical Utility of Federated Learning in the Medical
  Domain
Towards the Practical Utility of Federated Learning in the Medical Domain
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
Jong-Yeup Kim
Eunho Yang
E. Choi
FedML
OOD
18
16
0
07 Jul 2022
Self-supervised Pretraining and Transfer Learning Enable Flu and
  COVID-19 Predictions in Small Mobile Sensing Datasets
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Michael Merrill
Tim Althoff
AI4TS
21
14
0
26 May 2022
GRU-TV: Time- and velocity-aware GRU for patient representation on
  multivariate clinical time-series data
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
Ningtao Liu
Ruoxi Gao
Jing Yuan
Calire Park
Shuwei Xing
S. Gou
CML
AI4TS
17
1
0
04 May 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health
  Representation Learning via Feature Clustering
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
Xinyu Ma
Xu Chu
Yasha Wang
Hailong Yu
Liantao Ma
Wen Tang
Junfeng Zhao
CML
25
1
0
21 Apr 2022
A General Survey on Attention Mechanisms in Deep Learning
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers
Flavius Frasincar
31
296
0
27 Mar 2022
TiSAT: Time Series Anomaly Transformer
TiSAT: Time Series Anomaly Transformer
Keval Doshi
Shatha Abudalou
Yasin Yılmaz
AI4TS
27
16
0
10 Mar 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise
  Correlations for Long-Term Time Series Forecasting
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du
Bing-Huang Su
Zhewei Wei
AI4TS
13
43
0
23 Feb 2022
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
29
6
0
18 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction
  Models in Healthcare
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Muchao Ye
Junyu Luo
Guanjie Zheng
Cao Xiao
Ting Wang
Fenglong Ma
AAML
24
3
0
11 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
31
55
0
05 Dec 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit
  using Flexible Multimodal Transformers
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
19
5
0
09 Nov 2021
Transformers for prompt-level EMA non-response prediction
Transformers for prompt-level EMA non-response prediction
Supriya Nagesh
Alexander Moreno
Stephanie M Carpenter
Jamie Yap
Soujanya Chatterjee
...
Santosh Kumar
Cho Lam
D. Wetter
Inbal Nahum-Shani
James M. Rehg
14
0
0
01 Nov 2021
Generative Pre-Trained Transformer for Cardiac Abnormality Detection
Generative Pre-Trained Transformer for Cardiac Abnormality Detection
P. Gaudilliere
Halla Sigurthorsdottir
Clémentine Aguet
J. V. Zaen
M. Lemay
R. Delgado-Gonzalo
MedIm
16
5
0
07 Oct 2021
LIFE: Learning Individual Features for Multivariate Time Series
  Prediction with Missing Values
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Zhao Zhang
Shao-Qun Zhang
Yuan Jiang
Zhi-Hua Zhou
AI4TS
29
6
0
30 Sep 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
30
92
0
29 Aug 2021
Temporal Dependencies in Feature Importance for Time Series Predictions
Temporal Dependencies in Feature Importance for Time Series Predictions
Kin Kwan Leung
Clayton Rooke
Jonathan Smith
S. Zuberi
M. Volkovs
OOD
AI4TS
23
24
0
29 Jul 2021
Self-Supervised Transformer for Sparse and Irregularly Sampled
  Multivariate Clinical Time-Series
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series
Sindhu Tipirneni
Chandan K. Reddy
AI4TS
13
104
0
29 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
20
2,096
0
24 Jun 2021
Multi-Faceted Representation Learning with Hybrid Architecture for Time
  Series Classification
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
Zhenyu Liu
Jian Cheng
AI4TS
21
0
0
21 Dec 2020
Contrastive Predictive Coding for Human Activity Recognition
Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
30
118
0
09 Dec 2020
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal
  Fusion Model
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
H. Shalu
P. Harikrishnan
C. Harisankar
Akash Das
Saptarshi Majumder
Arnhav Datar
MS SubinMathew
Anugyan Das
Juned Kadiwala
6
4
0
30 Nov 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced
  Data
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen
Junjie Liang
Fenglong Ma
Lucas Glass
Jimeng Sun
Cao Xiao
16
25
0
22 Oct 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
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
S. Sarkar
Asheesh K. Singh
24
131
0
24 Jun 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
25
176
0
21 Apr 2020
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Seth H. Huang
Lingjie Xu
Congwei Jiang
AI4TS
29
10
0
13 Jan 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan Ö. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
45
1,408
0
19 Dec 2019
Towards unstructured mortality prediction with free-text clinical notes
Towards unstructured mortality prediction with free-text clinical notes
Mohammad Hashir
R. Sawhney
23
39
0
19 Nov 2019
Set Functions for Time Series
Set Functions for Time Series
Max Horn
Michael Moor
Christian Bock
Bastian Alexander Rieck
Karsten M. Borgwardt
AI4TS
27
145
0
26 Sep 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
E. Choi
Zhen Xu
Yujia Li
Michael W. Dusenberry
Gerardo Flores
Yuan Xue
Andrew M. Dai
MedIm
19
238
0
11 Jun 2019
Benchmarking Deep Learning Architectures for Predicting Readmission to
  the ICU and Describing Patients-at-Risk
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
S. Barbieri
James Kemp
O. Perez-Concha
S. Kotwal
M. Gallagher
A. Ritchie
Louisa R Jorm
22
75
0
21 May 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural
  Networks
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Priyanka Gupta
Pankaj Malhotra
Jyoti Narwariya
L. Vig
Gautam M. Shroff
AI4TS
27
61
0
01 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Recurrent
  Neural Networks
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta
Pankaj Malhotra
L. Vig
Gautam M. Shroff
19
39
0
04 Jul 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
33
150
0
18 Jun 2018
Early hospital mortality prediction using vital signals
Early hospital mortality prediction using vital signals
Reza Sadeghi
Tanvi Banerjee
W. Romine
39
60
0
18 Mar 2018
A Generative Modeling Approach to Limited Channel ECG Classification
A Generative Modeling Approach to Limited Channel ECG Classification
Deepta Rajan
Jayaraman J. Thiagarajan
21
35
0
18 Feb 2018
Multitask learning and benchmarking with clinical time series data
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
30
855
0
22 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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