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Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives

Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives

9 November 2021
Ziyi Liu
Jiaqi Zhang
Yongshuai Hou
Xinran Zhang
Ge Li
Yang Xiang
ArXivPDFHTML

Papers citing "Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives"

11 / 11 papers shown
Title
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Huayu Chen
Boqing Gong
ViT
300
588
0
22 Apr 2021
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
A. Bagheri
T. K. Groenhof
W. B. Veldhuis
P. A. Jong
F. Asselbergs
Daniel L. Oberski
40
15
0
27 Aug 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
80
686
0
22 May 2020
TAPER: Time-Aware Patient EHR Representation
TAPER: Time-Aware Patient EHR Representation
Sajad Darabi
Mohammad Kachuee
Shayan Fazeli
Majid Sarrafzadeh
29
57
0
11 Aug 2019
Enhancing Prediction Models for One-Year Mortality in Patients with
  Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
S. N. Payrovnaziri
Laura A. Barrett
Daniel Bis
Jiang Bian
Zhe He
15
14
0
28 Apr 2019
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and
  Unstructured Electronic Health Record Data with Memory Networks
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Zhenxing Xu
Jingyuan Chou
Xi Sheryl Zhang
Yuan Luo
T. Isakova
...
Richard C. Kiefer
J. Pacheco
Luke Rasmussen
Jyotishman Pathak
Fei Wang
41
54
0
10 Apr 2019
Beyond Word Importance: Contextual Decomposition to Extract Interactions
  from LSTMs
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch
Peter J. Liu
Bin Yu
64
210
0
16 Jan 2018
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
84
1,113
0
12 Jun 2017
Comparative Study of CNN and RNN for Natural Language Processing
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
64
986
0
07 Feb 2017
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
521
27,295
0
01 Sep 2014
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
644
31,490
0
16 Jan 2013
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