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PheME: A deep ensemble framework for improving phenotype prediction from
  multi-modal data
v1v2 (latest)

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data

19 March 2023
Shenghan Zhang
Haoxuan Li
Ruixiang Tang
Sirui Ding
L. Rasmy
Degui Zhi
Na Zou
Helen Zhou
ArXiv (abs)PDFHTML

Papers citing "PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data"

18 / 18 papers shown
Title
Local Contrastive Learning for Medical Image Recognition
Local Contrastive Learning for Medical Image Recognition
S. A. Rizvi
Ruixiang Tang
X. Jiang
X. Ma
X. Hu
73
6
0
24 Mar 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness
  Constraint
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Chia-Yuan Chang
Jiayi Yuan
Sirui Ding
Qiaoyu Tan
Kai Zhang
Xiaoqian Jiang
Helen Zhou
Na Zou
FaML
64
9
0
24 Mar 2023
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Ruixiang Tang
Xiaotian Han
Xiaoqian Jiang
Helen Zhou
LM&MAAI4MHSyDa
70
185
0
08 Mar 2023
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
165
1,081
0
01 Nov 2021
Topic Modelling Meets Deep Neural Networks: A Survey
Topic Modelling Meets Deep Neural Networks: A Survey
He Zhao
Dinh Q. Phung
Viet Huynh
Yuan Jin
Lan Du
Wray Buntine
BDL
38
142
0
28 Feb 2021
Mitigating Gender Bias in Captioning Systems
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
Mengnan Du
Yuening Li
Zirui Liu
Na Zou
Helen Zhou
FaML
46
66
0
15 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
541
42,591
0
03 Dec 2019
TASTE: Temporal and Static Tensor Factorization for Phenotyping
  Electronic Health Records
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
Ardavan Afshar
Ioakeim Perros
Haesun Park
C. Defilippi
Xiaowei Yan
Walter F. Stewart
Joyce C. Ho
Jimeng Sun
43
33
0
13 Nov 2019
Transfer Learning in Biomedical Natural Language Processing: An
  Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Yifan Peng
Shankai Yan
Zhiyong Lu
LM&MAAI4MH
71
845
0
13 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Training Complex Models with Multi-Task Weak Supervision
Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner
Braden Hancock
Jared A. Dunnmon
Frederic Sala
Shreyash Pandey
Christopher Ré
53
213
0
05 Oct 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
81
1,030
0
28 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for
  Electronic Health Record (EHR) Analysis
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
BDL
102
1,119
0
12 Jun 2017
The Use of Autoencoders for Discovering Patient Phenotypes
The Use of Autoencoders for Discovering Patient Phenotypes
Harini Suresh
Peter Szolovits
Marzyeh Ghassemi
DRL
65
28
0
20 Mar 2017
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
197
718
0
25 May 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
112
1,201
0
13 Oct 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
684
31,544
0
16 Jan 2013
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