| 1 |
Zheng_2020 |
Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label |
Chuansheng Zheng; Xianbo Deng; Qing Fu; Qiang Zhou; Jiapei Feng; Hui Ma; Wenyu Liu; Xinggang Wang |
2020 |
2020-03-17 |
BioRxiv |
Y |
|
|
10.1101/2020.03.12.20027185 |
ll4rxd9p |
0.899603 |
Saw_A_2019, Dai_Q_2012, Saw_A_2019 |
Fu_M_2020, Jin_C_2020 |
| 2 |
Fu_M_2020 |
Deep Learning-Based Recognizing COVID-19 and other Common Infectious Diseases of the Lung by Chest CT Scan Images |
Min Fu; Shuang-Lian Yi; Yuanfeng Zeng; Feng Ye; Yuxuan Li; Xuan Dong; Yan-Dan Ren; Linkai Luo; Jin-Shui Pan; Qi Zhang |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
|
10.1101/2020.03.28.20046045 |
96r8l6vq |
0.896233 |
Lee_C_2017, Saw_A_2019 |
Jin_C_2020, Zheng_2020 |
| 3 |
Chen_2020 |
Early prediction of mortality risk among severe COVID-19 patients using machine learning |
Xingdong Chen; Zhenqiu Liu |
2020 |
2020-04-19 |
BioRxiv |
Y |
|
|
10.1101/2020.04.13.20064329 |
z0vup2lr |
0.892973 |
Saw_A_2019 |
|
| 4 |
Jin_C_2020 |
Development and Evaluation of an AI System for COVID-19 |
Cheng Jin; Weixiang Chen; Yukun Cao; Zhanwei Xu; Xin Zhang; Lei Deng; Chuansheng Zheng; Jie Zhou; Heshui Shi; Jianjiang Feng |
2020 |
2020-03-23 |
BioRxiv |
Y |
|
|
10.1101/2020.03.20.20039834 |
k1lg8c7q |
0.849217 |
Lee_C_2017, Saw_A_2019, Chang_2011 |
Fu_M_2020, Zheng_2020 |
| 5 |
AlMoammar_2018 |
Selecting Accurate Classifier Models for a MERS-CoV Dataset |
AlMoammar, Afnan; AlHenaki, Lubna; Kurdi, Heba |
2018 |
2018-11-09 |
PMC |
N |
PMC7123473 |
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10.1007/978-3-030-01054-6_74 |
fridlqhv |
0.846691 |
Saw_A_2019, Lee_C_2017, Zuo_G_2011, Saw_A_2019 |
|
| 6 |
Pourhomayoun_2020 |
Predicting Mortality Risk in Patients with COVID-19 Using Artificial Intelligence to Help Medical Decision-Making |
Mohammad Pourhomayoun; Mahdi Shakibi |
2020 |
2020-04-01 |
BioRxiv |
Y |
|
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10.1101/2020.03.30.20047308 |
x70501t3 |
0.834071 |
Chen_2010, Saw_A_2019 |
Andre_2020, AlMoammar_2018, Sarkar_2020 |
| 7 |
Andre_2020 |
COVID-19 diagnosis prediction in emergency care patients: a machine learning approach |
Andre Filipe de Moraes Batista; Joao Luiz Miraglia; Thiago Henrique Rizzi Donato; Alexandre Dias Porto Chiavegatto Filho |
2020 |
2020-04-07 |
BioRxiv |
Y |
|
|
10.1101/2020.04.04.20052092 |
nvavj9gk |
0.834008 |
Saw_A_2019, Lee_C_2017, Chen_2010 |
AlMoammar_2018 |
| 8 |
Zhou_2020 |
Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia |
Min Zhou; Yong Chen; Dexiang Wang; Yanping Xu; Weiwu Yao; Jingwen Huang; Xiaoyan Jin; Zilai Pan; Jingwen Tan; Lan Wang; Yihan Xia; Longkuan Zou; Xin Xu; Jingqi Wei; Mingxin Guan; Jianxing Feng; Huan Zhang; Jieming Qu |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
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10.1101/2020.03.24.20043117 |
ilc2bzkx |
0.811921 |
Lee_C_2017, Saw_A_2019 |
Song_2020, Fu_M_2020 |
| 9 |
Kumar_2020 |
Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers |
Rahul Kumar; Ridhi Arora; Vipul Bansal; Vinodh J Sahayasheela; Himanshu Buckchash; Javed Imran; Narayanan Narayanan; Ganesh N Pandian; Balasubramanian Raman |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
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10.1101/2020.04.13.20063461 |
59ghorzf |
0.805020 |
Lee_C_2017 |
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| 10 |
Song_2020 |
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images |
Ying Song; Shuangjia Zheng; Liang Li; Xiang Zhang; Xiaodong Zhang; Ziwang Huang; Jianwen Chen; Huiying Zhao; Yusheng Jie; Ruixuan Wang; Yutian Chong; Jun Shen; Yunfei Zha; Yuedong Yang |
2020 |
2020-02-25 |
BioRxiv |
Y |
|
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10.1101/2020.02.23.20026930 |
zqsy6r4i |
0.802363 |
Lee_C_2017, Chang_2011 |
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| 11 |
Fang_2020 |
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study |
Fang, Mengjie; He, Bingxi; Li, Li; Dong, Di; Yang, Xin; Li, Cong; Meng, Lingwei; Zhong, Lianzhen; Li, Hailin; Li, Hongjun; Tian, Jie |
2020 |
2020-04-15 |
PMC |
Y |
PMC7166002 |
|
10.1007/s11432-020-2849-3 |
p9w9fwak |
0.797150 |
Qi_Z_2018, Chang_2011, Feng_2010, Lee_C_2017 |
|
| 12 |
Hassanien_2020 |
Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine |
Aboul Ella Hassanien; Lamia Nabil Mahdy; Kadry Ali Ezzat; Haytham H. Elmousalami; Hassan Aboul Ella |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
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10.1101/2020.03.30.20047787 |
45dpoepu |
0.772044 |
Lee_C_2017 |
Fu_M_2020, Ozturk_2020, Zheng_2020 |
| 13 |
Bai_X_2020 |
Predicting COVID-19 malignant progression with AI techniques |
Xiang Bai; Cong Fang; Yu Zhou; Song Bai; Zaiyi Liu; Qianlan Chen; Yongchao Xu; Tian Xia; Shi Gong; Xudong Xie; Dejia Song; Ronghui Du; Chunhua Zhou; Chengyang Chen; Dianer Nie; Dandan Tu; Changzheng Zhang; Xiaowu Liu; Lixin Qin; Weiwei Chen |
2020 |
2020-03-23 |
BioRxiv |
Y |
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10.1101/2020.03.20.20037325 |
50oy9qqy |
0.752782 |
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| 14 |
Martin_2020 |
An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot |
Alistair Martin; Jama Nateqi; Stefanie Gruarin; Nicolas Munsch; Isselmou Abdarahmane; Bernhard Knapp |
2020 |
2020-03-26 |
BioRxiv |
Y |
|
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10.1101/2020.03.25.008805 |
52nw9gxq |
0.746301 |
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Wu_J_2020, Santosh_2020 |
| 15 |
Abbas_2020 |
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network |
Asmaa Abbas; Mohammed Abdelsamea; Mohamed Gaber |
2020 |
2020-04-01 |
BioRxiv |
Y |
|
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10.1101/2020.03.30.20047456 |
i5jk0407 |
0.742608 |
Qi_Z_2018, Lee_C_2017, Dai_Q_2012, Chang_2011 |
Fu_M_2020, Jin_C_2020, Zheng_2020 |
| 16 |
Chen_2010 |
Forecasting tourist arrivals by using the adaptive network-based fuzzy inference system |
Chen, Miao-Sheng; Ying, Li-Chih; Pan, Mei-Chiu |
2010 |
2010-03-31 |
PMC |
N |
PMC7126321 |
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10.1016/j.eswa.2009.06.032 |
b2m3p3uh |
0.732535 |
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| 17 |
Stubblefield_2020 |
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification |
Jonathan Stubblefield; Mitchell Hervert; Jason Causey; Jake Qualls; Wei Dong; Lingrui Cai; Jennifer Fowler; Emily Bellis; Karl Walker; Jason H. Moore; Sara Nehring; Xiuzhen Huang |
2020 |
2020-04-15 |
BioRxiv |
Y |
|
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10.1101/2020.04.11.20062091 |
w8joc5ye |
0.730247 |
Kurc_2006 |
Fu_M_2020, Zhou_2020, Abbas_2020 |
| 18 |
Sarkar_2020 |
A Machine Learning Model Reveals Older Age and Delayed Hospitalization as Predictors of Mortality in Patients with COVID-19 |
Jit Sarkar; Partha Chakrabarti |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
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10.1101/2020.03.25.20043331 |
0agldesf |
0.727947 |
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Andre_2020 |
| 19 |
Huang_2020 |
Multiple-Input Deep Convolutional Neural Network Model for COVID-19 Forecasting in China |
Chiou-Jye Huang; Yung-Hsiang Chen; Yuxuan Ma; Ping-Huan Kuo |
2020 |
2020-03-27 |
BioRxiv |
Y |
|
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10.1101/2020.03.23.20041608 |
yw81pkrq |
0.705739 |
Saw_A_2019, Chang_2011, Zheng_2009 |
Mock_2019 |
| 20 |
Amyar_2020 |
Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation |
Amine Amyar; Romain Modzelewski; Su Ruan |
2020 |
2020-04-21 |
BioRxiv |
Y |
|
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10.1101/2020.04.16.20064709 |
hiac6ur7 |
0.690140 |
Lee_C_2017, Dai_Q_2012, Qi_Z_2018, Mendizabal-Ruiz_2018 |
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| 21 |
Al-karawi_2020 |
Machine Learning Analysis of Chest CT Scan Images as a Complementary Digital Test of Coronavirus (COVID-19) Patients |
Dhurgham Al-karawi; Shakir Al-Zaidi; Nisreen Polus; Sabah Jassim |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
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10.1101/2020.04.13.20063479 |
w8nwj3u6 |
0.685551 |
Qi_Z_2018, Chang_2011 |
|
| 22 |
Razzak_2020 |
Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning |
Imran Razzak; Saeeda Naz; Arshia Rehman; Ahmed Khan; Ahmad Zaib |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
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10.1101/2020.04.11.20054643 |
sgy03deg |
0.678214 |
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| 23 |
Xiaoxuan_2020 |
Can Search Query Forecast successfully in China's 2019-nCov pneumonia? |
Li Xiaoxuan; Wu Qi; Lv Benfu |
2020 |
2020-02-18 |
BioRxiv |
Y |
|
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10.1101/2020.02.12.20022400 |
vv1wjen0 |
0.677622 |
Lee_C_2017, Chang_2011 |
|
| 24 |
Wu_J_2020 |
Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results |
Jiangpeng Wu; Pengyi Zhang; Liting Zhang; Wenbo Meng; Junfeng Li; Chongxiang Tong; Yonghong Li; Jing Cai; Zengwei Yang; Jinhong Zhu; Meie Zhao; Huirong Huang; Xiaodong Xie; Shuyan Li |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
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10.1101/2020.04.02.20051136 |
kjovtgua |
0.656154 |
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| 25 |
Ajayi_2019 |
Forecasting herd-level porcine epidemic diarrhea (PED) frequency trends in Ontario (Canada) |
Ajayi, Toluwalope; Dara, Rozita; Poljak, Zvonimir |
2019 |
2019-03-01 |
PMC |
N |
PMC7125872 |
30771890.0 |
10.1016/j.prevetmed.2019.01.005 |
f9w310tp |
0.641137 |
Chen_2010, Saw_A_2019 |
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| 26 |
Guo_Z_2020 |
Early warning of some notifiable infectious diseases in China by the artificial neural network |
Guo, Zuiyuan; He, Kevin; Xiao, Dan |
2020 |
2020-02-19 |
COMM-USE |
N |
PMC7062078 |
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10.1098/rsos.191420 |
a1rd7kas |
0.610312 |
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| 27 |
Kolozsvari_2020 |
Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence |
Laszlo Robert Kolozsvari; Tamas Berczes; Andras Hajdu; Rudolf Gesztelyi; Attila TIba; Imre Varga; Gergo Jozsef Szollosi; Szilvia Harsanyi; Szabolcs Garboczy; Judit Zsuga |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
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10.1101/2020.04.17.20069666 |
35xpmdbj |
0.606246 |
Chang_2011 |
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| 28 |
Liu_Y_2020 |
Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically |
Liu, Yuliang; Zhang, Quan; Zhao, Geng; Liu, Guohua; Liu, Zhiang |
2020 |
2020-03-11 |
NONCOMM |
N |
PMC7073442 |
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10.2147/dmso.s242585 |
1r4gm2d4 |
0.602157 |
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| 29 |
Yu_C_2018 |
Acral melanoma detection using a convolutional neural network for dermoscopy images |
Yu, Chanki; Yang, Sejung; Kim, Wonoh; Jung, Jinwoong; Chung, Kee-Yang; Lee, Sang Wook; Oh, Byungho |
2018 |
2018-03-07 |
COMM-USE |
N |
PMC5841780 |
29513718.0 |
10.1371/journal.pone.0193321 |
u4ybz8ds |
0.578345 |
Qi_Z_2018, Saw_A_2019, Feng_2010 |
Fu_M_2020 |
| 30 |
Sher_2017 |
DRREP: deep ridge regressed epitope predictor |
Sher, Gene; Zhi, Degui; Zhang, Shaojie |
2017 |
2017-10-03 |
COMM-USE |
N |
PMC5629616 |
28984193.0 |
10.1186/s12864-017-4024-8 |
f3uo372d |
0.577017 |
Saw_A_2019, Lee_C_2017, Dai_Q_2012, Qi_Z_2018, Chang_2011 |
Mock_2019, Sollner_2008 |
| 31 |
Khobahi_2020 |
CoroNet: A Deep Network Architecture for Semi-Supervised Task-Based Identification of COVID-19 from Chest X-ray Images |
Shahin Khobahi; Chirag Agarwal; Mojtaba Soltanalian |
2020 |
2020-04-17 |
BioRxiv |
Y |
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10.1101/2020.04.14.20065722 |
qw5ly6rl |
0.565558 |
Lee_C_2017, Chang_2011, Mendizabal-Ruiz_2018 |
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Al-qaness_2020 |
Optimization Method for Forecasting Confirmed Cases of COVID-19 in China |
Al-qaness, Mohammed A. A.; Ewees, Ahmed A.; Fan, Hong; Abd El Aziz, Mohamed |
2020 |
2020-03-02 |
None |
Y |
PMC7141184 |
32131537.0 |
10.3390/jcm9030674 |
x1zq2i9h |
0.553901 |
Saw_A_2019, Chen_2010, Chang_2011 |
|
| 33 |
He_X_2020 |
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans |
Xuehai He; Xingyi Yang; Shanghang Zhang; Jinyu Zhao; Yichen Zhang; Eric Xing; Pengtao Xie |
2020 |
2020-04-17 |
BioRxiv |
Y |
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10.1101/2020.04.13.20063941 |
l3f469ht |
0.552846 |
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| 34 |
Khanna_2019 |
Prediction of novel mouse TLR9 agonists using a random forest approach |
Khanna, Varun; Li, Lei; Fung, Johnson; Ranganathan, Shoba; Petrovsky, Nikolai |
2019 |
2019-12-20 |
COMM-USE |
N |
PMC6924143 |
31856726.0 |
10.1186/s12860-019-0241-0 |
wo6356vq |
0.544953 |
Saw_A_2019, Chang_2011, Qi_Z_2018, Dai_Q_2012, Feng_2010 |
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Santosh_2020 |
AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data |
Santosh, K. C. |
2020 |
2020-03-18 |
PMC |
Y |
PMC7087612 |
32189081.0 |
10.1007/s10916-020-01562-1 |
j97ugs3y |
0.541065 |
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AlMoammar_2018, Andre_2020, Wu_J_2020 |
| 36 |
Nguyen_2019 |
A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation |
Nguyen, Cuong V.; Le Quang, Truong; Vu, Trung Nguyen; Le Thi, Hoi; Van, Kinh Nguyen; Trong, Thanh Han; Trong, Tuan Do; Sun, Guanghao; Ishibashi, Koichiro |
2019 |
2019-12-31 |
PMC |
N |
PMC7103934 |
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10.1016/j.imu.2019.100225 |
yt302jyx |
0.495919 |
Saw_A_2019, Lee_C_2017, Mendizabal-Ruiz_2018 |
Fu_M_2020, Wu_J_2020, Ozturk_2020 |
| 37 |
Carrillo-de-Gea_2016 |
A Computer-Aided Detection System for Digital Chest Radiographs |
Carrillo-de-Gea, Juan Manuel; García-Mateos, Ginés; Fernández-Alemán, José Luis; Hernández-Hernández, José Luis |
2016 |
2016-05-31 |
COMM-USE |
N |
PMC5058572 |
27372536.0 |
10.1155/2016/8208923 |
fn929z9y |
0.492123 |
Liou_2013, Lee_C_2017 |
Javadi_2006, Hassanien_2020 |
| 38 |
Ozturk_2020 |
Classification of Coronavirus Images using Shrunken Features |
Saban Ozturk; Umut Ozkaya; Mucahid Barstugan |
2020 |
2020-04-06 |
BioRxiv |
Y |
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10.1101/2020.04.03.20048868 |
2l1zw19o |
0.451891 |
Qi_Z_2018, Chang_2011, Lee_C_2017, Mendizabal-Ruiz_2018 |
Song_2020 |
| 39 |
Salg_2020 |
A globally available COVID-19 - Template for clinical imaging studies |
Gabriel Alexander Salg; Maria Katharina Ganten; Matthias Baumhauer; Claus Peter Heussel; Jens Kleesiek |
2020 |
2020-04-07 |
BioRxiv |
Y |
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10.1101/2020.04.02.20048793 |
5s30ihv3 |
0.449061 |
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| 40 |
David_2010 |
Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies |
David, Maria Pamela C; Concepcion, Gisela P; Padlan, Eduardo A |
2010 |
2010-02-08 |
COMM-USE |
N |
PMC3098112 |
20144194.0 |
10.1186/1471-2105-11-79 |
6yvdv1xk |
0.442771 |
Saw_A_2019, Chang_2011, Qi_Z_2018, Lee_C_2017, Feng_2010 |
AlMoammar_2018 |
| 41 |
Al-Turaiki_2016 |
Building predictive models for MERS-CoV infections using data mining techniques |
Al-Turaiki, Isra; Alshahrani, Mona; Almutairi, Tahani |
2016 |
2016-12-31 |
PMC |
N |
PMC7102847 |
27641481.0 |
10.1016/j.jiph.2016.09.007 |
wqa98m4v |
0.438413 |
Chang_2011 |
AlMoammar_2018 |
| 42 |
Bai_L_2020 |
Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19) |
Bai, Li; Yang, Dawei; Wang, Xun; Tong, Lin; Zhu, Xiaodan; Zhong, Nanshan; Bai, Chunxue; Powell, Charles A.; Chen, Rongchang; Zhou, Jian; Song, Yuanlin; Zhou, Xin; Zhu, Huili; Han, Baohui; Li, Qiang; Shi, Guochao; Li, Shengqing; Wang, Changhui; Qiu, Zhongmin; Zhang, Yong; Xu, Yu; Liu, Jie; Zhang, Ding; Wu, Chaomin; Li, Jing; Yu, Jinming; Wang, Jiwei; Dong, Chunling; Wang, Yaoli; Wang, Qi; Zhang, Lichuan; Zhang, Min; Ma, Xia; Zhao, Lin; Yu, Wencheng; Xu, Tao; Jin, Yang; Wang, Xiongbiao; Wang, Yuehong; Jiang, Yan; Chen, Hong; Xiao, Kui; Zhang, Xiaoju; Song, Zhenju; Zhang, Ziqiang; Wu, Xueling; Sun, Jiayuan; Shen, Yao; Ye, Maosong; Tu, Chunlin; Jiang, Jinjun; Yu, Hai; Tan, Fei |
2020 |
2020-12-31 |
PMC |
Y |
PMC7148716 |
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10.1016/j.ceh.2020.03.001 |
wyz5jyjh |
0.432637 |
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paul_2020 |
A multivariate spatiotemporal spread model of COVID-19 using ensemble of ConvLSTM networks |
swarna kamal paul; Saikat Jana; Parama Bhaumik |
2020 |
2020-04-22 |
BioRxiv |
Y |
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10.1101/2020.04.17.20069898 |
nng76upj |
0.415750 |
Chang_2011, Qi_Z_2018, Dai_Q_2012 |
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Majumdar_2018 |
Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment |
Majumdar, Abhishek; Debnath, Tapas; Sood, Sandeep K.; Baishnab, Krishna Lal |
2018 |
2018-09-01 |
PMC |
N |
PMC7088392 |
30173290.0 |
10.1007/s10916-018-1041-3 |
1v3wl6ky |
0.408052 |
Lee_C_2017 |
AlMoammar_2018 |
| 45 |
Ardabili_2020 |
COVID-19 Outbreak Prediction with Machine Learning |
Sina F. Ardabili; Amir MOSAVI; Pedram Ghamisi; Filip Ferdinand; Annamaria R. Varkonyi-Koczy; Uwe Reuter; Timon Rabczuk; Peter M. Atkinson |
2020 |
2020-04-22 |
BioRxiv |
Y |
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10.1101/2020.04.17.20070094 |
nu0pn2q8 |
0.408052 |
Liou_2013 |
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Tang_2015 |
Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition |
Tang, Qin; Song, Yulong; Shi, Mijuan; Cheng, Yingyin; Zhang, Wanting; Xia, Xiao-Qin |
2015 |
2015-11-26 |
COMM-USE |
N |
PMC4660426 |
26607834.0 |
10.1038/srep17155 |
gl65i3s0 |
0.399216 |
Lee_C_2017 |
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Wagner_1984 |
A computer based system for collection, storage, retrieval and reporting accession information in a veterinary medical diagnostic laboratory |
Wagner, Joseph E.; Warriner, William J.; Bradfield, Sylvia A.; Farrar, Patricia L.; Morehouse, Lawrence G. |
1984 |
1984-12-31 |
PMC |
N |
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6380915.0 |
10.1016/0010-4825(84)90033-7 |
83f0ruku |
0.398245 |
UNKNOWN_2018 |
Stokes_1993, Chapman_2004 |
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John_2019 |
Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome |
John, Maya; Shaiba, Hadil |
2019 |
2019-12-04 |
PMC |
N |
PMC7122755 |
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10.1007/978-3-030-36365-9_16 |
r7tg0s45 |
0.392251 |
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Sloane_2020 |
Chapter 83 Artificial intelligence in medical devices and clinical decision support systems |
Sloane, Elliot B.; J. Silva, Ricardo |
2020 |
2020-12-31 |
PMC |
N |
PMC7153310 |
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10.1016/b978-0-12-813467-2.00084-5 |
7kskldmn |
0.382156 |
Lu_Q_2006, Jiang_2009 |
Pourhomayoun_2020, Dórea_2013 |
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Milano_2020 |
Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution |
Marianna Milano; Mario Cannataro |
2020 |
2020-04-22 |
BioRxiv |
Y |
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10.1101/2020.04.17.20068916 |
6n88mcbf |
0.381596 |
Chang_2011, Lee_C_2017, Zheng_2008, Qi_Z_2018 |
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Sachdeva_2005 |
SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks |
Sachdeva, Gaurav; Kumar, Kaushal; Jain, Preti; Ramachandran, Srinivasan |
2005 |
2005-02-15 |
PMC |
N |
PMC7109999 |
15374866.0 |
10.1093/bioinformatics/bti028 |
k5u6tdkg |
0.353514 |
Lee_C_2017 |
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Seo_J_2019 |
An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data |
Seo, Jungryul; Laine, Teemu H.; Sohn, Kyung-Ah |
2019 |
2019-10-20 |
COMM-USE |
N |
PMC6832442 |
31635194.0 |
10.3390/s19204561 |
vtktgyvh |
0.344487 |
Mendizabal-Ruiz_2018, Qi_Z_2018 |
Liu_Y_2020, Jung_2017 |
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Zhang_2009 |
Automatic online news monitoring and classification for syndromic surveillance |
Zhang, Yulei; Dang, Yan; Chen, Hsinchun; Thurmond, Mark; Larson, Cathy |
2009 |
2009-11-30 |
PMC |
N |
PMC7114309 |
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10.1016/j.dss.2009.04.016 |
r0lduvs1 |
0.341266 |
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Lu_H_2009 |
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Lopez-Rincon_2020 |
Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning |
Alejandro Lopez-Rincon; Alberto Tonda; Lucero Mendoza-Maldonado; Eric Claassen; Johan Garssen; Aletta D. Kraneveld |
2020 |
2020-03-14 |
BioRxiv |
Y |
|
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10.1101/2020.03.13.990242 |
c2lljdi7 |
0.329834 |
Lee_C_2017, Chang_2011, Qi_Z_2018, Cheng_2012 |
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Javadi_2006 |
Diagnosing pneumonia in rural Thailand: Digital cameras versus film digitizers for chest radiograph teleradiology |
Javadi, Massoud; Subhannachart, Ponglada; Levine, Sunisa; Vijitsanguan, Chomphunut; Tungsagunwattana, Sutarat; Dowell, Scott F.; Olsen, Sonja J. |
2006 |
2006-03-31 |
PMC |
N |
PMC7110458 |
16243559.0 |
10.1016/j.ijid.2005.01.007 |
yzqcet2l |
0.304412 |
Kylberg_2009, Yeh_J_2008, Montgomery_2004 |
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