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Using Clinical Notes with Time Series Data for ICU Management
v1v2 (latest)

Using Clinical Notes with Time Series Data for ICU Management

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
12 September 2019
Swaraj Khadanga
Karan Aggarwal
Shafiq Joty
Jaideep Srivastava
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "Using Clinical Notes with Time Series Data for ICU Management"

32 / 32 papers shown
Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
Alexander Bakumenko
Janine Hoelscher
Hudson Smith
118
1
0
19 Nov 2025
CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction
CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction
Cong-Tinh Dao
Nguyen Minh Thao Phan
J. Ding
Chenwei Wu
David Restrepo
...
Pei-fu Chen
Ling-Hao Chen
Xinglong Ju
Feng Liu
Fang-Ming Hung
110
4
0
14 Nov 2025
Integrating Text and Time-Series into (Large) Language Models to Predict Medical Outcomes
Integrating Text and Time-Series into (Large) Language Models to Predict Medical Outcomes
Iyadh Ben Cheikh Larbi
A. Ravichandran
A. Burchardt
Roland Roller
LM&MA
90
0
0
17 Sep 2025
Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents
Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents
Fuyu Xing
Zimu Wang
Wei Wang
Haiyang Zhang
VLM
126
2
0
16 Sep 2025
Multi-modal Time Series Analysis: A Tutorial and Survey
Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang
Kanghui Ning
Zijie Pan
Xuyang Shen
Jingchao Ni
Wenchao Yu
Anderson Schneider
Haifeng Chen
Yuriy Nevmyvaka
Dongjin Song
AI4TS
987
38
0
17 Mar 2025
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Fuying Wang
Feng Wu
Yihan Tang
Lequan Yu
AI4TS
469
5
0
01 Nov 2024
BadCLM: Backdoor Attack in Clinical Language Models for Electronic
  Health Records
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records
Weimin Lyu
Zexin Bi
Fusheng Wang
Chao Chen
285
11
0
06 Jul 2024
Multi-Modal Contrastive Learning for Online Clinical Time-Series
  Applications
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
Fabian Baldenweg
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
AI4TS
346
6
0
27 Mar 2024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Tianxi Cai
Feiqing Huang
Ryumei Nakada
Linjun Zhang
Doudou Zhou
273
4
0
22 Mar 2024
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records
  Analysis via Large Language Models
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models
Yinghao Zhu
Changyu Ren
Shiyun Xie
Shukai Liu
Hangyuan Ji
...
Tao Sun
Long He
Zhoujun Li
Xi Zhu
Chengwei Pan
290
47
0
10 Feb 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
Xing Han
Huy Nguyen
Carl Harris
Nhat Ho
Suchi Saria
MoE
497
75
0
05 Feb 2024
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal
  Contrastive EHR Modelling with Hierarchical Regularisation
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical RegularisationFindings (Findings), 2024
Heejoon Koo
374
5
0
22 Jan 2024
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
Xingqiao Li
Jindong Gu
Zhiyong Wang
Yancheng Yuan
Bo Du
Fengxiang He
237
0
0
29 Dec 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
324
6
0
15 Nov 2023
Knowledge Graph Representations to enhance Intensive Care Time-Series
  Predictions
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
Samyak Jain
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
222
4
0
13 Nov 2023
Multi-modal Graph Learning over UMLS Knowledge Graphs
Multi-modal Graph Learning over UMLS Knowledge Graphs
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
265
8
0
10 Jul 2023
Length of Stay prediction for Hospital Management using Domain
  Adaptation
Length of Stay prediction for Hospital Management using Domain Adaptation
Lyse Naomi Wamba Momo
Nyalleng Moorosi
E. Nsoesie
F. Rademakers
B. De Moor
OOD
230
3
0
29 Jun 2023
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and
  Regression
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression
Xuesong Ye
Jun Wu
Chengjie Mou
Weina Dai
297
13
0
19 May 2023
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks
  for Patient-Level Representation Learning
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Nayeon Kim
Yinhua Piao
Sun Kim
224
5
0
16 May 2023
FineEHR: Refine Clinical Note Representations to Improve Mortality
  Prediction
FineEHR: Refine Clinical Note Representations to Improve Mortality PredictionInternational Symposium on Digital Forensics and Security (ISDFS), 2023
Jun Wu
Xuesong Ye
Chengjie Mou
Weina Dai
326
21
0
24 Apr 2023
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class
  Classification of Cardiac Irregularities Using ECG Waveforms and Clinical
  Notes
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
Ankur Samanta
Mark Karlov
Meghna Ravikumar
Christian McIntosh Clarke
Jayakumar Rajadas
Kaveh Hassani
193
3
0
21 Feb 2023
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Severin Husmann
Hugo Yèche
Gunnar Rätsch
Rita Kuznetsova
HAI
173
11
0
06 Dec 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling
Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingInternational Conference on Machine Learning (ICML), 2022
Xinlu Zhang
Shiyang Li
Zhiyu Zoey Chen
Xifeng Yan
Linda R. Petzold
AI4TS
349
51
0
18 Oct 2022
Natural Language Processing Methods to Identify Oncology Patients at
  High Risk for Acute Care with Clinical Notes
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes
Claudio Fanconi
Marieke M. van Buchem
Tina Hernandez-Boussard
LM&MA
211
10
0
28 Sep 2022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data
  for Interpretable In-Hospital Mortality Prediction
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality PredictionAmerican Medical Informatics Association Annual Symposium (AMIA), 2022
Weimin Lyu
Xinyu Dong
Rachel Wong
Songzhu Zheng
Kayley Abell-Hart
Fusheng Wang
Chao Chen
399
86
0
09 Aug 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
Multimodal data matters: language model pre-training over structured and unstructured electronic health recordsIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
494
47
0
25 Jan 2022
What Do You See in this Patient? Behavioral Testing of Clinical NLP
  Models
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
Betty van Aken
S. Herrmann
Alexander Loser
236
13
0
30 Nov 2021
Using Clinical Drug Representations for Improving Mortality and Length
  of Stay Predictions
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
Batuhan Bardak
Mehmet Tan
140
3
0
17 Oct 2021
Clinical Outcome Prediction from Admission Notes using Self-Supervised
  Knowledge Integration
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Betty van Aken
Jens-Michalis Papaioannou
M. Mayrdorfer
Klemens Budde
Felix Alexander Gers
Alexander Loser
173
89
0
08 Feb 2021
Improving Clinical Outcome Predictions Using Convolution over Medical
  Entities with Multimodal Learning
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning
Batuhan Bardak
Mehmet Tan
245
45
0
24 Nov 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal
  Clinical NLP
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPClinical Natural Language Processing Workshop (ClinicalNLP), 2020
John Chen
Ian Berlot-Attwell
Safwan Hossain
Xindi Wang
Frank Rudzicz
FaML
193
8
0
19 Nov 2020
Dynamically Extracting Outcome-Specific Problem Lists from Clinical
  Notes with Guided Multi-Headed Attention
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed AttentionMachine Learning in Health Care (MLHC), 2020
Justin Lovelace
N. Hurley
A. Haimovich
B. Mortazavi
226
5
0
25 Jul 2020
1
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