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Multitask learning and benchmarking with clinical time series data

Multitask learning and benchmarking with clinical time series data

22 March 2017
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Multitask learning and benchmarking with clinical time series data"

50 / 309 papers shown
Title
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic
  Health Records
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
Ran Xu
Wenqi Shi
Yue Yu
Yuchen Zhuang
Bowen Jin
M. D. Wang
Joyce C. Ho
Carl Yang
35
8
0
25 Feb 2024
ED-Copilot: Reduce Emergency Department Wait Time with Language Model
  Diagnostic Assistance
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
Liwen Sun
Abhineet Agarwal
Aaron E. Kornblith
Bin-Xia Yu
Chenyan Xiong
59
4
0
21 Feb 2024
Multimodal Fusion of EHR in Structures and Semantics: Integrating
  Clinical Records and Notes with Hypergraph and LLM
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
Hejie Cui
Xinyu Fang
Ran Xu
Xuan Kan
Joyce C. Ho
Carl Yang
35
8
0
19 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
77
16
0
05 Feb 2024
Efficient Observation Time Window Segmentation for Administrative Data
  Machine Learning
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning
Musa Taib
G. Messier
OOD
AI4TS
33
0
0
29 Jan 2024
Benchmarking with MIMIC-IV, an irregular, spare clinical time series
  dataset
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset
Hung Bui
Harikrishna Warrier
Yogesh Gupta
27
1
0
27 Jan 2024
Inadequacy of common stochastic neural networks for reliable clinical
  decision support
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer
Malte Blattmann
S. Franke
Thomas Neumuth
Daniel Schneider
BDL
35
1
0
24 Jan 2024
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
39
30
0
11 Jan 2024
Evaluating Fairness in Self-supervised and Supervised Models for
  Sequential Data
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
Sofia Yfantidou
Dimitris Spathis
Marios Constantinides
Athena Vakali
Daniele Quercia
F. Kawsar
55
2
0
03 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
38
2
0
29 Dec 2023
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
Linglong Qian
Zina Ibrahim
Hugh Logan Ellis
Ao Zhang
Yuezhou Zhang
Tao Wang
Richard J. B. Dobson
AI4TS
34
2
0
27 Dec 2023
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
13
4
0
18 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift
Benchmarking Distribution Shift in Tabular Data with TableShift
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
24
33
0
10 Dec 2023
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A
  Comprehensive Benchmark for Evaluating Foundation Models in Emergency
  Medicine
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
Emma Chen
Aman Kansal
Julie Chen
B. Jin
Julia Rachel Reisler
David A Kim
Pranav Rajpurkar
43
14
0
07 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
86
59
0
03 Nov 2023
Language Model Training Paradigms for Clinical Feature Embeddings
Language Model Training Paradigms for Clinical Feature Embeddings
Yurong Hu
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
39
0
0
01 Nov 2023
Self Attention with Temporal Prior: Can We Learn More from Arrow of
  Time?
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time?
Kyung Geun Kim
Byeong Tak Lee
AI4TS
19
0
0
29 Oct 2023
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
29
35
0
28 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
40
118
0
16 Oct 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
33
0
0
13 Oct 2023
Self-supervised Representation Learning From Random Data Projectors
Self-supervised Representation Learning From Random Data Projectors
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
George Stein
Xiao Shi Huang
Xiaochen Zhang
M. Volkovs
32
10
0
11 Oct 2023
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
Zhongji Zhang
Yuhang Wang
Yinghao Zhu
Xinyu Ma
Tianlong Wang
Chaohe Zhang
Yasha Wang
Liantao Ma
Xiaoyun Zhang
Ling Wang
OOD
30
1
0
11 Oct 2023
Learning and DiSentangling Patient Static Information from Time-series
  Electronic HEalth Record (STEER)
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)
Wei-Duen Liao
J. Voldman
OOD
CML
9
0
0
20 Sep 2023
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series
Nicasia Beebe-Wang
Sayna Ebrahimi
Jinsung Yoon
Sercan Ö. Arik
Tomas Pfister
AI4TS
26
3
0
25 Aug 2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient
  Similarity Analysis and Risk Prediction
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
Yuxi Liu
Zhenhao Zhang
S. Qin
Flora D. Salim
Antonio Jimeno Yepes
Jun Shen
Jiang Bian
35
2
0
24 Aug 2023
Contrastive Learning-based Imputation-Prediction Networks for
  In-hospital Mortality Risk Modeling using EHRs
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs
Yuxi Liu
Zhenhao Zhang
S. Qin
Flora D. Salim
Antonio Jimeno Yepes
38
6
0
19 Aug 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
41
14
0
13 Aug 2023
Updating Clinical Risk Stratification Models Using Rank-Based
  Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team
  Performance
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance
Erkin Ötleş
B. Denton
Jenna Wiens
26
1
0
10 Aug 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to
  Active Learning
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Pier Giuseppe Sessa
Pierre Laforgue
Nicolò Cesa-Bianchi
Andreas Krause
21
2
0
03 Aug 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Sen Cui
Weishen Pan
Changshui Zhang
Fei Wang
17
10
0
27 Jul 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time
  Series
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu
P. Chandak
Ridwan Alam
John Guttag
Collin M. Stultz
AI4TS
25
13
0
20 Jul 2023
Multi-modal Graph Learning over UMLS Knowledge Graphs
Multi-modal Graph Learning over UMLS Knowledge Graphs
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
16
2
0
10 Jul 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Michael Wornow
Rahul Thapa
E. Steinberg
Jason Alan Fries
N. Shah
VLM
OOD
AI4MH
31
37
0
05 Jul 2023
Diagnosis Uncertain Models For Medical Risk Prediction
Diagnosis Uncertain Models For Medical Risk Prediction
A. Peysakhovich
Rich Caruana
Y. Aphinyanaphongs
21
0
0
29 Jun 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
12
1
0
29 Jun 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for
  Generative, Pre-trained Transformers over Continuous-time Sequences of
  Complex Events
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Matthew B. A. McDermott
Bret A. Nestor
Peniel Argaw
I. Kohane
AI4TS
32
21
0
20 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
26
1
0
15 Jun 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
32
26
0
14 Jun 2023
Temporal-spatial Correlation Attention Network for Clinical Data
  Analysis in Intensive Care Unit
Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
Weizhi Nie
Yu-Yi Yu
Chen Zhang
Dan Song
Lina Zhao
Yunru Bai
32
7
0
03 Jun 2023
DynaShare: Task and Instance Conditioned Parameter Sharing for
  Multi-Task Learning
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
E. Rahimian
Golara Javadi
Frederick Tung
Gabriel L. Oliveira
MoE
27
2
0
26 May 2023
A Framework for Incentivized Collaborative Learning
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
37
4
0
26 May 2023
LANISTR: Multimodal Learning from Structured and Unstructured Data
LANISTR: Multimodal Learning from Structured and Unstructured Data
Sayna Ebrahimi
Sercan Ö. Arik
Yihe Dong
Tomas Pfister
20
4
0
26 May 2023
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge
  Graphs
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Pengcheng Jiang
Cao Xiao
Adam Cross
Jimeng Sun
AI4MH
31
21
0
22 May 2023
Transferring Fairness using Multi-Task Learning with Limited Demographic
  Information
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
Carlos Alejandro Aguirre
Mark Dredze
35
0
0
22 May 2023
Evaluating the Impact of Social Determinants on Health Prediction in the
  Intensive Care Unit
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
M. Yang
Gloria Hyunjung Kwak
Tom Pollard
Leo Anthony Celi
Marzyeh Ghassemi
24
10
0
22 May 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
27
12
0
19 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
FedML
23
20
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 Learning
Nayeon Kim
Yinhua Piao
Sun Kim
18
4
0
16 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jing Xiao
Leonie Basso
Wolfgang Nejdl
Niloy Ganguly
Sandipan Sikdar
AI4TS
31
3
0
11 May 2023
Medical records condensation: a roadmap towards healthcare data
  democratisation
Medical records condensation: a roadmap towards healthcare data democratisation
Yujiang Wang
A. Thakur
Mingzhi Dong
Pingchuan Ma
Stavros Petridis
Li Shang
T. Zhu
David A. Clifton
MedIm
25
1
0
05 May 2023
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