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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
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model
  Deployment
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
Zhenbang Wu
Cao Xiao
Lucas Glass
David M. Liebovitz
Jimeng Sun
40
5
0
04 Mar 2022
Partitioned Variational Inference: A Framework for Probabilistic
  Federated Learning
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
Matthew Ashman
T. Bui
Cuong V Nguyen
Efstratios Markou
Adrian Weller
S. Swaroop
Richard Turner
FedML
19
12
0
24 Feb 2022
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank
  Constraints and Graph Embedding
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
Xian Wei
See-Kiong Ng
Tongtong Zhang
Yingjie Liu
18
1
0
03 Feb 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 records
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
52
30
0
25 Jan 2022
Label-dependent and event-guided interpretable disease risk prediction
  using EHRs
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Shuai Niu
Yunya Song
Qing Yin
Yike Guo
Xian Yang
27
2
0
18 Jan 2022
Label Dependent Attention Model for Disease Risk Prediction Using
  Multimodal Electronic Health Records
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Shuai Niu
Qing Yin
Yunya Song
Yike Guo
Xian Yang
29
10
0
18 Jan 2022
Predicting Patient Readmission Risk from Medical Text via Knowledge
  Graph Enhanced Multiview Graph Convolution
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Qiuhao Lu
Thien Huu Nguyen
Dejing Dou
33
19
0
19 Dec 2021
Learning Optimal Predictive Checklists
Learning Optimal Predictive Checklists
Haoran Zhang
Q. Morris
Berk Ustun
Marzyeh Ghassemi
26
11
0
02 Dec 2021
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on
  High-resolution ICU Data
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Hugo Yèche
Rita Kuznetsova
M. Zimmermann
Matthias Huser
Xinrui Lyu
M. Faltys
Gunnar Rätsch
31
40
0
16 Nov 2021
Towards Generating Real-World Time Series Data
Towards Generating Real-World Time Series Data
Hengzhi Pei
Kan Ren
Yuqing Yang
Chang-Shu Liu
Tao Qin
Dongsheng Li
AI4TS
28
33
0
16 Nov 2021
Early Prediction of Mortality in Critical Care Setting in Sepsis
  Patients Using Structured Features and Unstructured Clinical Notes
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes
Jiyoung Shin
Yikuan Li
Yuan Luo
24
10
0
09 Nov 2021
Towards dynamic multi-modal phenotyping using chest radiographs and
  physiological data
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
Nasir Hayat
Krzysztof J. Geras
Farah E. Shamout
27
4
0
04 Nov 2021
Multi-Task Neural Processes
Multi-Task Neural Processes
Donggyun Kim
Seongwoong Cho
Wonkwang Lee
Seunghoon Hong
33
0
0
28 Oct 2021
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted
  Nonparametric Hazards
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Z. Nowroozilarki
Arash Pakbin
J. Royalty
Donald K. K. Lee
B. Mortazavi
18
8
0
17 Oct 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
30
2
0
17 Oct 2021
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction
  using Electronic Health Records
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records
Chengxi Zang
Fei Wang
25
15
0
11 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
DeepAnalyze: Learning to Localize Crashes at Scale
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty
Chetan Bansal
Suman Nath
Sean Bowles
Henry Wang
Ozgur Arman
Siamak Ahari
HAI
37
4
0
29 Sep 2021
Learning Predictive and Interpretable Timeseries Summaries from ICU Data
Learning Predictive and Interpretable Timeseries Summaries from ICU Data
Nari Johnson
S. Parbhoo
A. Ross
Finale Doshi-Velez
AI4TS
27
7
0
22 Sep 2021
Interpretable Additive Recurrent Neural Networks For Multivariate
  Clinical Time Series
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
Asif Rahman
Yale Chang
Jonathan Rubin
AI4TS
HAI
27
3
0
15 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with
  Hypernetwork-guided Multitask Learning
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
Shaoxiong Ji
Pekka Marttinen
21
5
0
07 Sep 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class
  Setting: Phenotype Annotation Use Case
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Jingqing Zhang
Luis Bolaños
T. Li
Ashwani Tanwar
Guilherme Freire
Xian Yang
Julia Ive
Vibhor Gupta
Yike Guo
15
14
0
04 Sep 2021
SANSformers: Self-Supervised Forecasting in Electronic Health Records
  with Attention-Free Models
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar
Alexander Ilin
H. Salo
S. Kulathinal
M. Leinonen
Pekka Marttinen
AI4TS
MedIm
28
0
0
31 Aug 2021
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in Healthcare
M. Morid
O. R. Sheng
Josef A. Dunbar
OOD
AI4TS
24
106
0
30 Aug 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
27
19
0
30 Aug 2021
A comparison of approaches to improve worst-case predictive model
  performance over patient subpopulations
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
29
22
0
27 Aug 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and
  Horizontal Data Partitioning
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
13
19
0
19 Aug 2021
VBridge: Connecting the Dots Between Features and Data to Explain
  Healthcare Models
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Furui Cheng
Dongyu Liu
F. Du
Yanna Lin
Alexandra Zytek
Haomin Li
Huamin Qu
K. Veeramachaneni
24
37
0
04 Aug 2021
Clinical Utility of the Automatic Phenotype Annotation in Unstructured
  Clinical Notes: ICU Use Cases
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Jingqing Zhang
Luis Bolaños
Ashwani Tanwar
Julia Ive
Vibhor Gupta
Yike Guo
14
2
0
24 Jul 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
W. Hsu
B. Chakraborty
Nan Liu
27
84
0
21 Jul 2021
Disease Progression Modeling Workbench 360
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan
Prithwish Chakraborty
Piyush Madan
Kibichii Bore
William Ogallo
...
Italo Buleje
S. Remy
S. Mahatma
Pablo Meyer
Jianying Hu
17
3
0
24 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Y. S. Aoki
Frederick Tung
Gabriel L. Oliveira
MoE
39
22
0
20 Jun 2021
Machine Learning with Electronic Health Records is vulnerable to
  Backdoor Trigger Attacks
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
Byunggill Joe
Akshay Mehra
I. Shin
Jihun Hamm
14
9
0
15 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
24
46
0
09 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization
  Collaborations
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
30
16
0
02 Jun 2021
Predicting Intensive Care Unit Length of Stay and Mortality Using
  Patient Vital Signs: Machine Learning Model Development and Validation
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation
Khalid Alghatani
Nariman Ammar
A. Rezgui
Arash Shaban-Nejad
VLM
13
55
0
05 May 2021
MeSIN: Multilevel Selective and Interactive Network for Medication
  Recommendation
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
Yang An
Liang Zhang
Mao You
Xueqing Tian
Bo Jin
Xiaopeng Wei
6
18
0
22 Apr 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
Silvio Amir
Jan-Willem van de Meent
Byron C. Wallace
19
14
0
13 Apr 2021
BoXHED2.0: Scalable boosting of dynamic survival analysis
BoXHED2.0: Scalable boosting of dynamic survival analysis
Arash Pakbin
Xiaochen Wang
B. Mortazavi
Donald K. K. Lee
11
4
0
23 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust
  Forecasting on Sparse Multivariate Time Series
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Yinjun Wu
Jingchao Ni
Wei Cheng
Bo Zong
Dongjin Song
Zhengzhang Chen
Yanchi Liu
Xuchao Zhang
Haifeng Chen
S. Davidson
AI4TS
20
49
0
03 Mar 2021
Feature Importance Explanations for Temporal Black-Box Models
Feature Importance Explanations for Temporal Black-Box Models
Akshay Sood
M. Craven
FAtt
OOD
25
15
0
23 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning
  Models on MIMIC-IV Dataset
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
Chuizheng Meng
Loc Trinh
Nan Xu
Yan Liu
24
30
0
12 Feb 2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive
  Care Units
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Yilmazcan Ozyurt
Mathias Kraus
Tobias Hatt
Stefan Feuerriegel
19
34
0
09 Feb 2021
An attention model to analyse the risk of agitation and urinary tract
  infections in people with dementia
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
Honglin Li
Roonak Rezvani
Magdalena Anita Kolanko
D. Sharp
M. Wairagkar
R. Vaidyanathan
R. Nilforooshan
Payam Barnaghi
16
3
0
18 Jan 2021
X-CAL: Explicit Calibration for Survival Analysis
X-CAL: Explicit Calibration for Survival Analysis
Mark Goldstein
Xintian Han
A. Puli
A. Perotte
Rajesh Ranganath
36
37
0
13 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on
  Predictive Modeling with Electronic Health Records
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Yiqin Yu
Pin-Yu Chen
Yuan Zhou
Jing Mei
OOD
21
1
0
13 Jan 2021
PyHealth: A Python Library for Health Predictive Models
PyHealth: A Python Library for Health Predictive Models
Yue Zhao
Zhi Qiao
Cao Xiao
Lucas Glass
Jimeng Sun
LM&MA
VLM
OOD
AI4TS
AI4MH
26
22
0
11 Jan 2021
Predicting Patient Outcomes with Graph Representation Learning
Predicting Patient Outcomes with Graph Representation Learning
Emma Rocheteau
Catherine Tong
Petar Velickovic
Nicholas D. Lane
Pietro Lio
48
48
0
11 Jan 2021
Risk markers by sex for in-hospital mortality in patients with acute
  coronary syndrome: a machine learning approach
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach
Blanca Vázquez
Gibran Fuentes-Pineda
Fabian Garcia
G. Borrayo
J. Prohias
6
4
0
06 Jan 2021
Memory-Gated Recurrent Networks
Memory-Gated Recurrent Networks
Yaquan Zhang
Qi Wu
Nanbo Peng
Min Dai
Jing Zhang
Hu Wang
BDL
AI4TS
22
7
0
24 Dec 2020
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