Research Connect
Research PapersAboutContact

Deep Learning applications for COVID-19

Published in Journal of Big Data (2021-01-11)
aionlincourseaionlincourseaionlincourseaionlincourseaionlincourse
Generate GraphDownload

On This Page

  • TL;DR
  • Abstract
  • Authors
  • Datasets
  • References
TL

TL;DR

This survey explores how Deep Learning has battled the CO VID-19 pandemic and provides directions for future research on COVID-19, and evaluates the current state of Deep Learning and concludes with key limitations of Deep learning for COvid-19 applications.

Abstract

Authors

Connor Shorten

1 Paper

T. Khoshgoftaar

1 Paper

B. Furht

1 Paper

Datasets

SciFact

GLUE

General Language Understanding Evaluation benchmark

TREC-COVID

CORD-19

References152 items

1

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

2

Representation Learning on Graphs: Methods and Applications

3

SQuAD: 100,000+ Questions for Machine Comprehension of Text

4

Deep Residual Learning for Image Recognition

5

Distributed Representations of Words and Phrases and their Compositionality

6

Research Impact

243

Citations

152

References

8

Datasets

3

CORD-19

COVIDx

COVIDx CRX-2

CheXpert

CheXpert

SQuAD

Stanford Question Answering Dataset

FEVER

Fact Extraction and VERification

Adam: A Method for Stochastic Optimization

7

Mastering the game of Go with deep neural networks and tree search

8

ImageNet classification with deep convolutional neural networks

9

Contrastive Learning of Medical Visual Representations from Paired Images and Text

10

Contrastive Training for Improved Out-of-Distribution Detection

11

Language Models are Few-Shot Learners

12

A Simple Framework for Contrastive Learning of Visual Representations

13

Momentum Contrast for Unsupervised Visual Representation Learning

14

Transfusion: Understanding Transfer Learning for Medical Imaging

15

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

16

ImageNet Large Scale Visual Recognition Challenge

17

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

18

Attention is All you Need

19

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Computer Science
20

Densely Connected Convolutional Networks

21

Improved protein structure prediction using potentials from deep learning

MedicineComputer Science
22

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

23

Visualizing Data using t-SNE

24

A survey on Image Data Augmentation for Deep Learning

25

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

26

Explaining and Harnessing Adversarial Examples

27

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

28

Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study

29

Survey on deep learning with class imbalance

30

Distilling the Knowledge in a Neural Network

31

Critical assessment of methods of protein structure prediction (CASP)—Round XIII

32

Scaling Laws for Neural Language Models

33

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

34

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

35

Neural Architecture Search with Reinforcement Learning

36

Artificial intelligence in COVID-19 drug repurposing

37

Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning

38

Baricitinib as potential treatment for 2019-nCoV acute respiratory disease

39

Neural Structured Learning: Training Neural Networks with Structured Signals

40

Training with Quantization Noise for Extreme Model Compression

41

Regularized Evolution for Image Classifier Architecture Search

42

Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation

43

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

44

Vokenization: Improving Language Understanding via Contextualized, Visually-Grounded Supervision

45

Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning

46

MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

47

How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks

48

NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative

49

Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors

50

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

51

LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets

52

KILT: a Benchmark for Knowledge Intensive Language Tasks

53

Survey on RNN and CRF models for de-identification of medical free text

54

Illuminating the dark spaces of healthcare with ambient intelligence

55

Welcoming new guidelines for AI clinical research

56

Accurately Differentiating COVID-19, Other Viral Infection, and Healthy Individuals Using Multimodal Features via Late Fusion Learning

57

Applications of Robots for COVID-19 Response

58

Interpretable Sequence Learning for COVID-19 Forecasting

59

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

60

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature

61

Deep Learning in Protein Structural Modeling and Design

62

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

63

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

64

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

65

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea

66

Coronavirus Knowledge Graph: A Case Study

67

DETECTING COVID-19 MISINFORMATION ON SOCIAL MEDIA

68

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

69

Not Just Semantics: Social Distancing and COVID Discourse on Twitter

70

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

71

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization

72

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

73

What Are People Asking About COVID-19? A Question Classification Dataset

74

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

75

Artificial intelligence–enabled rapid diagnosis of patients with COVID-19

76

COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter

77

TREC-COVID

78

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

79

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

80

Fact or Fiction: Verifying Scientific Claims

81

WT5?! Training Text-to-Text Models to Explain their Predictions

82

Leveraging Data Science to Combat COVID-19: A Comprehensive Review

83

The Ingredients of Real-World Robotic Reinforcement Learning

84

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks

85

Rapidly Bootstrapping a Question Answering Dataset for COVID-19

86

CORD-19: The Covid-19 Open Research Dataset

87

Experience Grounds Language

88

Dense Passage Retrieval for Open-Domain Question Answering

89

Survey on categorical data for neural networks

90

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

91

Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning

92

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

93

Information Mining for COVID-19 Research From a Large Volume of Scientific Literature

94

Identifying Radiological Findings Related to COVID-19 from Medical Literature

95

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

96

A Survey of Deep Learning for Scientific Discovery

97

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

98

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

99

Neuroevolution of self-interpretable agents

100

The future of digital health with federated learning

101

Document Ranking with a Pretrained Sequence-to-Sequence Model

102

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis

103

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

104

Complete Genome Sequence of a 2019 Novel Coronavirus (SARS-CoV-2) Strain Isolated in Nepal

105

COVID-19: combining antiviral and anti-inflammatory treatments

106

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

107

Transformers as Soft Reasoners over Language

108

How Much Knowledge Can You Pack into the Parameters of a Language Model?

109

Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference

110

Management.

111

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

112

Learning to Manipulate Deformable Objects without Demonstrations

113

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

114

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

115

Solving Rubik's Cube with a Robot Hand

116

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

117

Deep Learning and Data Sampling with Imbalanced Big Data

118

Evaluating Protein Transfer Learning with TAPE

119

What Does BERT Look at? An Analysis of BERT’s Attention

120

PaperRobot: Incremental Draft Generation of Scientific Ideas

121

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

122

SciBERT: A Pretrained Language Model for Scientific Text

123

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

124

A generic framework for privacy preserving deep learning

125

A survey on addressing high-class imbalance in big data

126

Social media for polling and predicting United States election outcome

127

A review of statistical and machine learning methods for modeling cancer risk using structured clinical data

128

FEVER: a Large-scale Dataset for Fact Extraction and VERification

129

Exploring the Effectiveness of Twitter at Polling the United States 2016 Presidential Election

130

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

131

Billion-Scale Similarity Search with GPUs

132

Medical error—the third leading cause of death in the US

133

MIMIC-III, a freely accessible critical care database

134

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

135

Learning Distributed Representations of Sentences from Unlabelled Data

136

Visualizing Deep Convolutional Neural Networks Using Natural Pre-images

137

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

138

A review of data mining using big data in health informatics

139

An estimation of the number of cells in the human body

140

A measure of intelligence

141

The Comparative Toxicogenomics Database: update 2011

142

Protein–Protein Interactions Essentials: Key Concepts to Building and Analyzing Interactome Networks

143

The Human Genome Project: Lessons from Large-Scale Biology

144

SLEDGE: a simple yet effective baseline for COVID-19 scientific knowledge

145

S2ORC: The Semantic Scholar Open Research Corpus

146

Investigation of Maxout Activations on Convolutional Neural Networks for Big Data Text Sentiment Analysis

147

Improving Language Understanding by Generative Pre-Training

148

Network medicine: a network-based approach to human disease

149

What Is an Ontology?

150

Handbook on Ontologies

151

Mark Ibrahim: neural relational autoregression for high-resolution COVID-19 forecasting

152

Accurate identification of SARS-CoV-2 from viral genome sequences using deep learning

Authors

Field of Study

Medicine

Journal Information

Name

Journal of Big Data

Volume

8

Venue Information

Name

Journal of Big Data

Type

journal

URL

http://www.journalofbigdata.com/

Alternate Names

  • J Big Data
  • Journal on Big Data