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MetaPred: Meta-Learning for Clinical Risk Prediction with Limited
  Patient Electronic Health Records

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

8 May 2019
Xi Sheryl Zhang
Fengyi Tang
H. H. Dodge
Jiayu Zhou
Fei Wang
ArXivPDFHTML

Papers citing "MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records"

20 / 20 papers shown
Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
254
0
0
15 Feb 2025
Learning to Select the Best Forecasting Tasks for Clinical Outcome
  Prediction
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
57
0
0
28 Jul 2024
Augmented Risk Prediction for the Onset of Alzheimer's Disease from
  Electronic Health Records with Large Language Models
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Jiankun Wang
Sumyeong Ahn
Taykhoom Dalal
Xiaodan Zhang
Weishen Pan
Qiannan Zhang
Bin Chen
H. H. Dodge
Fei Wang
Jiayu Zhou
LM&MA
33
1
0
26 May 2024
Prompting Large Language Models for Zero-Shot Clinical Prediction with
  Structured Longitudinal Electronic Health Record Data
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
Yinghao Zhu
Zixiang Wang
Junyi Gao
Yuning Tong
Jingkun An
Weibin Liao
Ewen M. Harrison
Liantao Ma
Chengwei Pan
LM&MA
49
8
0
25 Jan 2024
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
43
0
0
05 Mar 2023
Meta Learning for Few-Shot Medical Text Classification
Meta Learning for Few-Shot Medical Text Classification
Pankaj Sharma
Imran Qureshi
Minh Tran
OOD
32
0
0
03 Dec 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
27
3
0
23 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
48
4
0
08 Nov 2022
Knowledge-Driven New Drug Recommendation
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
33
4
0
11 Oct 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health
  Representation Learning via Feature Clustering
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
Xinyu Ma
Xu Chu
Yasha Wang
Hailong Yu
Liantao Ma
Wen Tang
Junfeng Zhao
CML
38
1
0
21 Apr 2022
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
32
84
0
21 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
34
155
0
07 Jul 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
32
64
0
17 Jan 2021
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
Sridha Sridharan
Clinton Fookes
OOD
22
271
0
04 Dec 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
21
154
0
06 Oct 2020
Interpretable Time-series Classification on Few-shot Samples
Interpretable Time-series Classification on Few-shot Samples
Wensi Tang
Lu Liu
Guodong Long
AI4TS
8
20
0
03 Jun 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
52
12
0
20 Mar 2020
Differentially Private Meta-Learning
Differentially Private Meta-Learning
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
35
106
0
12 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
547
11,727
0
09 Mar 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1