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  4. Cited By
Learning Tasks for Multitask Learning: Heterogenous Patient Populations
  in the ICU

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

7 June 2018
Harini Suresh
Jen J. Gong
John Guttag
ArXiv (abs)PDFHTML

Papers citing "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU"

32 / 32 papers shown
Title
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous
  Medical Image Classification Tasks
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
Atefe Hassani
I. Rekik
FedML
104
0
0
29 Jul 2024
Large Language Model as a Universal Clinical Multi-task Decoder
Large Language Model as a Universal Clinical Multi-task Decoder
Yujiang Wu
Hongjian Song
Jiawen Zhang
Xumeng Wen
Shun Zheng
Jiang Bian
86
2
0
18 Jun 2024
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal
  Healthcare Prediction
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
Muhao Xu
Zhenfeng Zhu
Youru Li
Shuai Zheng
Yawei Zhao
Kunlun He
Yao Zhao
77
1
0
17 Jun 2024
Can You Rely on Your Model Evaluation? Improving Model Evaluation with
  Synthetic Test Data
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
B. V. Breugel
Nabeel Seedat
F. Imrie
M. Schaar
SyDa
56
25
0
25 Oct 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
53
1
0
29 Jun 2023
Time Associated Meta Learning for Clinical Prediction
Time Associated Meta Learning for Clinical Prediction
Hao Liu
Muhan Zhang
Zehao Dong
Lecheng Kong
Yixin Chen
Bradley A. Fritz
Dacheng Tao
C. King
86
0
0
05 Mar 2023
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
CMLAI4TS
59
1
0
04 May 2022
ExpertNet: A Symbiosis of Classification and Clustering
ExpertNet: A Symbiosis of Classification and Clustering
Shivin Srivastava
Kenji Kawaguchi
Vaibhav Rajan
18
1
0
17 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
53
12
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
32
2
0
17 Oct 2021
Private Multi-Task Learning: Formulation and Applications to Federated
  Learning
Private Multi-Task Learning: Formulation and Applications to Federated Learning
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
97
20
0
30 Aug 2021
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
99
89
0
21 Jul 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
CMLSSLAI4TS
171
297
0
01 Jun 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With
  Electronic Health Record Data
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Tingyi Wanyan
Jing Zhang
Ying Ding
A. Azad
Zhangyang Wang
B. Glicksberg
67
10
0
07 Apr 2021
Clustering Aware Classification for Risk Prediction and Subtyping in
  Clinical Data
Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data
Shivin Srivastava
Siddharth Bhatia
Lingxiao Huang
Lim Jun Heng
Kenji Kawaguchi
Vaibhav Rajan
CML
36
0
0
23 Feb 2021
Clinical Outcome Prediction from Admission Notes using Self-Supervised
  Knowledge Integration
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken
Jens-Michalis Papaioannou
M. Mayrdorfer
Klemens Budde
Felix Alexander Gers
Alexander Loser
54
73
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
72
37
0
24 Nov 2020
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
103
165
0
06 Oct 2020
Cardea: An Open Automated Machine Learning Framework for Electronic
  Health Records
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
Sarah Alnegheimish
Najat Alrashed
Faisal Aleissa
Shahad Althobaiti
Dongyu Liu
Mansour Alsaleh
K. Veeramachaneni
OOD
37
9
0
01 Oct 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing
  Shortcuts
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
Sarah Jabbour
David Fouhey
Ella Kazerooni
Michael Sjoding
Jenna Wiens
OOD
74
49
0
21 Sep 2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with
  Auxiliary Tasks
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven
M. H. Chaudhary
Jeroen Berrevoets
Wouter Verbeke
57
7
0
26 Aug 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task
  Pre-training on EHR Time-series Data
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott
Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
64
16
0
20 Jul 2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic
  for Interpretable Prognosis
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
Liantao Ma
Xinyu Ma
Junyi Gao
Chaohe Zhang
Zhihao Yu
Xianfeng Jiao
Wenjie Ruan
Yasha Wang
Wen Tang
Jiangtao Wang
OOD
38
5
0
17 Jul 2020
Patient Similarity Analysis with Longitudinal Health Data
Patient Similarity Analysis with Longitudinal Health Data
Ahmed Allam
Matthias Dittberner
A. Sintsova
D. Brodbeck
Michael Krauthammer
110
14
0
14 May 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality
  Prediction of Diverse Rare Diseases
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu
Zequn Liu
Haoxian Wu
Zichang Wang
Jianhao Shen
Yiping Song
Ming Zhang
42
19
0
11 Apr 2020
Towards unstructured mortality prediction with free-text clinical notes
Towards unstructured mortality prediction with free-text clinical notes
Mohammad Hashir
R. Sawhney
61
39
0
19 Nov 2019
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in
  Toxic Comment Detection
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
Ameya Vaidya
Feng Mai
Yue Ning
160
21
0
21 Sep 2019
Using Clinical Notes with Time Series Data for ICU Management
Using Clinical Notes with Time Series Data for ICU Management
Swaraj Khadanga
Karan Aggarwal
Shafiq Joty
Jaideep Srivastava
76
59
0
12 Sep 2019
Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict
  Hospital Readmissions
Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict Hospital Readmissions
Hallee E. Wong
Brianna C. Heggeseth
Steven J. Miller
CMLOOD
20
0
0
01 Sep 2019
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Kimmo Karkkainen
Jungseock Joo
CVBM
98
162
0
14 Aug 2019
A Survey of Challenges and Opportunities in Sensing and Analytics for
  Cardiovascular Disorders
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders
N. Hurley
E. Spatz
H. Krumholz
R. Jafari
B. Mortazavi
41
1
0
12 Aug 2019
Predicting Inpatient Discharge Prioritization With Electronic Health
  Records
Predicting Inpatient Discharge Prioritization With Electronic Health Records
Anand Avati
Stephen Pfohl
Chris Lin
Thao Nguyen
Meng Zhang
P. Hwang
Jessica Wetstone
Kenneth Jung
A. Ng
N. Shah
50
5
0
02 Dec 2018
1