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DOI: 10.14569/IJACSA.2020.0111294
PDF

Predicting Hospitals Hygiene Rate during COVID-19 Pandemic

Author 1: Abdulrahman M. Qahtani
Author 2: Bader M. Alouffi
Author 3: Hosam Alhakami
Author 4: Samah Abuayeid
Author 5: Abdullah Baz

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 12, 2020.

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Abstract: COVID-19 pandemic has reached global attention with the increasing cases in the whole world. Increasing awareness for the hygiene procedures between the hospital’s staff, and the society became the main concern of the World Health Organization (WHO). However, the situation of COVID-19 Pan-demic has encouraged many researchers in different fields to investigate to support the efforts offered by the hospitals and their health practitioners. The main aim of this research is to predict the hospital’s hygiene rate during COVID-19 using COVID-19 Nursing Home Dataset. We have proposed a feature extraction, and comparing the results estimating from K-means clustering algorithm, and three classification algorithms: random forest, decision tree, and Naive Bayes, for predicting the hospital’s hygiene rate during COVID-19. However, the results show that classification algorithms have addressed better performance than K-means clustering, in which Naive Bayes considered the best algorithm for achieving the research goal with accuracy value equal to 98.1%. AS a result the research has discovered that the hospitals that offered weekly amounts of personal protective equipment (PPE) have passed the personal quality test, which lead to a decrease in the number of COVID-19 cases between the hospital’s staff.

Keywords: COVID-19; machine learning; hospitals hygiene; World Health Organization (WHO); personal protective equipment; K-means clustering; Naive Bayes; random forest

Abdulrahman M. Qahtani, Bader M. Alouffi, Hosam Alhakami, Samah Abuayeid and Abdullah Baz, “Predicting Hospitals Hygiene Rate during COVID-19 Pandemic” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111294

@article{Qahtani2020,
title = {Predicting Hospitals Hygiene Rate during COVID-19 Pandemic},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111294},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111294},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Abdulrahman M. Qahtani and Bader M. Alouffi and Hosam Alhakami and Samah Abuayeid and Abdullah Baz}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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