Systematic Literature Review: Machine Learning Prediction Model for Covid-19 Spreading

被引：0
|
作者：
Nastiti, Faulinda Ely [1 ,2 ]
Musa, Shahrulniza [1 ]
Yafi, Eiad [3 ,4 ]
Chauhan, Ritu [5 ]
机构：
[1] Malaysian Institute of Information Technology, University Kuala Lumpur, Kuala Lumpur, Malaysia
[2] University Duta Bangsa Surakarta, Indonesia
[3] University of Technology Sydney, School of Computer Science, Sydney, Australia
[4] Institute of Business, Faculty of Information and Communication Technologies, Karuhun Bidau, Dili, Timor-leste
[5] Amity Institue of Biotechnology, Amity University, Uttar Pradesh, India
来源：
2022 4th International Conference on Cybernetics and Intelligent System, ICORIS 2022 | 2022年
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forecasting
引用
收藏
相关论文
共 50 条
  • [21] Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies
    Loo, Wei Kit
    Hasikin, Khairunnisa
    Suhaimi, Anwar
    Yee, Por Lip
    Teo, Kareen
    Xia, Kaijian
    Qian, Pengjiang
    Jiang, Yizhang
    Zhang, Yuanpeng
    Dhanalakshmi, Samiappan
    Azizan, Muhammad Mokhzaini
    Lai, Khin Wee
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [22] A Systematic Review of COVID-19 Geographical Research: Machine Learning and Bibliometric Approach
    Xi, Jinglun
    Liu, Xiaolu
    Wang, Jianghao
    Yao, Ling
    Zhou, Chenghu
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2023, 113 (03) : 581 - 598
  • [23] Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
    Syeda, Hafsa Bareen
    Syed, Mahanazuddin
    Sexton, Kevin Wayne
    Syed, Shorabuddin
    Begum, Salma
    Syed, Farhanuddin
    Prior, Fred
    Yu, Feliciano, Jr.
    JMIR MEDICAL INFORMATICS, 2021, 9 (01)
  • [24] Covid-19 distance and online learning: a systematic literature review in pharmacy education
    Muhaimin Muhaimin
    Akhmad Habibi
    Yasir Riady
    Turki Mesfer Alqahtani
    Anis Yohana Chaerunisaa
    Tommy Tanu Wijaya
    Tiana Milanda
    Farrah Dina Yusop
    Nour Awni Albelbisi
    BMC Medical Education, 23
  • [25] A Systematic Literature Review of Deep Learning Algorithms for Segmentation of the COVID-19 Infection
    Alshomrani, Shroog
    Arif, Muhammad
    Al Ghamdi, Mohammed A.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 75 (03): : 5717 - 5742
  • [26] Covid-19 distance and online learning: a systematic literature review in pharmacy education
    Muhaimin, Muhaimin
    Habibi, Akhmad
    Riady, Yasir
    Alqahtani, Turki Mesfer
    Chaerunisaa, Anis Yohana
    Wijaya, Tommy Tanu
    Milanda, Tiana
    Yusop, Farrah Dina
    Albelbisi, Nour Awni
    BMC MEDICAL EDUCATION, 2023, 23 (01)
  • [27] Prediction of the COVID-19 pandemic with Machine Learning Models
    Sruthi, P. Lakshmi
    Raju, K. Butchi
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 474 - 481
  • [28] Analysis on Prediction of COVID-19 with Machine Learning Algorithms
    Sathyaraj, R.
    Kanthavel, R.
    Cavaliere, Luigi Pio Leonardo
    Vyas, Sumit
    Maheswari, S.
    Gupta, Ravi Kumar
    Raja, M. Ramkumar
    Dhaya, R.
    Gupta, Mukesh Kumar
    Sengan, Sudhakar
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2022, 30 (SUPP01) : 67 - 82
  • [29] Machine Learning Methods on COVID-19 Situation Prediction
    Yang, Zhihao
    Chen, Kang'an
    2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020), 2020, : 78 - 83
  • [30] Prediction of an epidemic with Machine Learning and Covid-19 Data
    Fang Wenhui
    Wang Yihui
    Lu Zhipeng
    2021 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL SCIENCE (AEECS 2021), 2021, 245
12345