ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.09039
  4. Cited By
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status
  Prediction

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction

15 May 2024
Zhihao Yu
Xu Chu
Yujie Jin
Yasha Wang
Junfeng Zhao
ArXiv (abs)PDFHTML

Papers citing "SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction"

19 / 19 papers shown
Title
Predict and Interpret Health Risk using EHR through Typical Patients
Predict and Interpret Health Risk using EHR through Typical Patients
Zhihao Yu
Chaohe Zhang
Yasha Wang
Wen Tang
Jiangtao Wang
Liantao Ma
37
6
0
18 Dec 2023
Probabilistic Imputation for Time-series Classification with Missing
  Data
Probabilistic Imputation for Time-series Classification with Missing Data
Seunghyun Kim
Hyunsung Kim
Eunggu Yun
Hwa-Kyung Lee
Jaehun Lee
Juho Lee
AI4TS
91
17
0
13 Aug 2023
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time
  Series
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
Jiawen Zhang
Shun Zheng
Wei Cao
Jiang Bian
Jia Li
AI4TS
53
30
0
14 Jun 2023
M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare
  Data
M3^33Care: Learning with Missing Modalities in Multimodal Healthcare Data
Chaohe Zhang
Xu Chu
Liantao Ma
Yinghao Zhu
Yasha Wang
Jiangtao Wang
Junfeng Zhao
54
87
0
28 Oct 2022
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang
M. Zeman
Theodoros Tsiligkaridis
Marinka Zitnik
MLAUAI4TS
78
113
0
11 Oct 2021
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
99
163
0
06 Oct 2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao
Cao Xiao
Yasha Wang
Wen Tang
Lucas Glass
Jimeng Sun
88
94
0
24 Jan 2020
ConCare: Personalized Clinical Feature Embedding via Capturing the
  Healthcare Context
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Liantao Ma
Chaohe Zhang
Yasha Wang
Wenjie Ruan
Jiantao Wang
Wen Tang
Xinyu Ma
Xin Gao
Junyi Gao
58
157
0
27 Nov 2019
AdaCare: Explainable Clinical Health Status Representation Learning via
  Scale-Adaptive Feature Extraction and Recalibration
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Liantao Ma
Junyi Gao
Yasha Wang
Chaohe Zhang
Jiangtao Wang
Wenjie Ruan
Wen Tang
Xin Gao
Xinyu Ma
OODAI4TS
59
120
0
27 Nov 2019
Set Functions for Time Series
Set Functions for Time Series
Max Horn
Michael Moor
Christian Bock
Bastian Rieck
Karsten Borgwardt
AI4TS
98
152
0
26 Sep 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS3DH
62
148
0
13 Sep 2019
Patient2Vec: A Personalized Interpretable Deep Representation of the
  Longitudinal Electronic Health Record
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang
Kamran Kowsari
James H. Harrison
J. Lobo
Laura E. Barnes
65
136
0
10 Oct 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
62
168
0
23 Jul 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
OODAI4TS
191
881
0
22 Mar 2017
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
97
677
0
21 Nov 2016
Phased LSTM: Accelerating Recurrent Network Training for Long or
  Event-based Sequences
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil
Michael Pfeiffer
Shih-Chii Liu
AI4TS
69
448
0
29 Oct 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
121
1,249
0
19 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
420
10,526
0
21 Jul 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
310
1,945
0
06 Jun 2016
1