A Survey for Using AI Techniques for Predicting COVID-19

被引:0
作者
Aldabagh, Hanan Anas [1 ]
Altalib, Ghayda Abdulaziz [1 ]
机构
[1] Univ Mosul, Dept Comp Sci, Mosul, Iraq
来源
PROCEEDING OF THE 2ND 2022 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSASE 2022) | 2022年
关键词
Prediction; COVID-19; Coronavirus; Artificial Intelligence; Machine Learning;
D O I
10.1109/CSASE51777.2022.9759653
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Artificial intelligence has finally brought in a qualitative leap in healthcare, allowing for the exploration of medical data for decision support and prediction. Recent research has demonstrated that artificial intelligence and machine learning is being used to combat the COVID-19 infection. Prediction models can be incorporated and thus aid in designing better strategies and making effective decisions. These technologies analyze past events to make better predictions about what will happen in the future, which may aid in preparation for potential threats and consequences. This survey paper aimed to cover a group of research that uses artificial intelligence applications to predict COVID-19 disease. This survey systematically presented the research to extract data mainly related to the type of article, publication date, research objectives, study context, results, methodology, algorithm, and data set.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 31 条
[1]   Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt [J].
Amar, Lamiaa A. ;
Taha, Ashraf A. ;
Mohamed, Marwa Y. .
INFECTIOUS DISEASE MODELLING, 2020, 5 :622-634
[2]   Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients [J].
Cheng, Fu-Yuan ;
Joshi, Himanshu ;
Tandon, Pranai ;
Freeman, Robert ;
Reich, David L. ;
Mazumdar, Madhu ;
Kohli-Seth, Roopa ;
Levin, Matthew A. ;
Timsina, Prem ;
Kia, Arash .
JOURNAL OF CLINICAL MEDICINE, 2020, 9 (06)
[3]  
DAS ASHIS, 2020, MEDRXIV, P2020
[4]  
Esposito Andrea, 2021, Rep Med Imaging, P27, DOI DOI 10.2147/RMI.S292314
[5]   Machine learning based early warning system enables accurate mortality risk prediction for COVID-19 [J].
Gao, Yue ;
Cai, Guang-Yao ;
Fang, Wei ;
Li, Hua-Yi ;
Wang, Si-Yuan ;
Chen, Lingxi ;
Yu, Yang ;
Liu, Dan ;
Xu, Sen ;
Cui, Peng-Fei ;
Zeng, Shao-Qing ;
Feng, Xin-Xia ;
Yu, Rui-Di ;
Wang, Ya ;
Yuan, Yuan ;
Jiao, Xiao-Fei ;
Chi, Jian-Hua ;
Liu, Jia-Hao ;
Li, Ru-Yuan ;
Zheng, Xu ;
Song, Chun-Yan ;
Jin, Ning ;
Gong, Wen-Jian ;
Liu, Xing-Yu ;
Huang, Lei ;
Tian, Xun ;
Li, Lin ;
Xing, Hui ;
Ma, Ding ;
Li, Chun-Rui ;
Ye, Fei ;
Gao, Qing-Lei .
NATURE COMMUNICATIONS, 2020, 11 (01)
[6]   Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data [J].
Hojo De Souza, Fernanda Sumika ;
Hojo-Souza, Natalia Satchiko ;
Dos Santos, Edimilson Batista ;
Da Silva, Cristiano Maciel ;
Guidoni, Daniel Ludovico .
FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2021, 4
[7]   COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm [J].
Iwendi, Celestine ;
Bashir, Ali Kashif ;
Peshkar, Atharva ;
Sujatha, R. ;
Chatterjee, Jyotir Moy ;
Pasupuleti, Swetha ;
Mishra, Rishita ;
Pillai, Sofia ;
Jo, Ohyun .
FRONTIERS IN PUBLIC HEALTH, 2020, 8
[8]   Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity [J].
Jiang, Xiangao ;
Coffee, Megan ;
Bari, Anasse ;
Wang, Junzhang ;
Jiang, Xinyue ;
Huang, Jianping ;
Shi, Jichan ;
Dai, Jianyi ;
Cai, Jing ;
Zhang, Tianxiao ;
Wu, Zhengxing ;
He, Guiqing ;
Huang, Yitong .
CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 63 (01) :537-551
[9]   Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning [J].
Khakharia A. ;
Shah V. ;
Jain S. ;
Shah J. ;
Tiwari A. ;
Daphal P. ;
Warang M. ;
Mehendale N. .
Annals of Data Science, 2021, 8 (1) :1-19
[10]   An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model [J].
Ko, Hoon ;
Chung, Heewon ;
Kang, Wu Seong ;
Park, Chul ;
Kim, Do Wan ;
Kim, Seong Eun ;
Chung, Chi Ryang ;
Ko, Ryoung Eun ;
Lee, Hooseok ;
Seo, Jae Ho ;
Choi, Tae-Young ;
Jaimes, Rafael ;
Kim, Kyung Won ;
Lee, Jinseok .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (12)