ISSN 1119-4618
 

Original Research 


A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques

Abdulhameed Ado Osi, Mannir Abdu, Hussaini Garba Dikko, Usman Muhammad, Auwalu Ibrahim, Lawan Adamu Ismail, Ahamd Abubakar Suleiman, Safiya Sani Sada, Muftahu Zubairu Ringim.

Abstract
COVID-19 is an infectious disease discovered after the outbreak began in Wuhan, China, in December 2019. COVID-19 is still becoming an increasing global threat to public health. The virus has been escalated to many countries across the globe. This paper analyzed and compared the performance of three different supervised machine learning techniques; Linear Discriminant Analysis (LDA), Random Forest (RF), and Support Vector Machine (SVM) on COVID-19 dataset. The best level of accuracy between these three algorithms was determined by comparison of some metrics for assessing predictive performance such as accuracy, sensitivity, specificity, F-score, Kappa index, and ROC. From the analysis results, RF was found to be the best algorithm with 100% prediction accuracy in comparison with LDA and SVM with 95.2% and 90.9% respectively. Our analysis shows that out of these three classification models RF predicts COVID-19 patient's survival outcome with the highest accuracy. Chi-square test reveals that all the seven features except sex were significantly correlated with the COVID-19 patient's outcome (P-value < 0.005). Therefore, RF was recommended for COVID-19 patient’s outcome prediction that will help in early identification of possible sensitive cases for quick provision of quality health care, support and supervision.

Key words: COVID-19, Survival outcomes, Random Forest, Linear Discriminant Analysis, Support Vector Machine


 
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How to Cite this Article
Pubmed Style

Osi AA, Abdu M, Dikko HG, Muhammad U, Ibrahim A, Ismail LA, Suleiman AA, Sada SS, Ringim MZ. A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. JPAS. 2022; 22(1): 1-10. doi:10.5455/sf.aaosi2


Web Style

Osi AA, Abdu M, Dikko HG, Muhammad U, Ibrahim A, Ismail LA, Suleiman AA, Sada SS, Ringim MZ. A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. https://www.atbuscienceforum.com/?mno=31506 [Access: November 12, 2022]. doi:10.5455/sf.aaosi2


AMA (American Medical Association) Style

Osi AA, Abdu M, Dikko HG, Muhammad U, Ibrahim A, Ismail LA, Suleiman AA, Sada SS, Ringim MZ. A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. JPAS. 2022; 22(1): 1-10. doi:10.5455/sf.aaosi2



Vancouver/ICMJE Style

Osi AA, Abdu M, Dikko HG, Muhammad U, Ibrahim A, Ismail LA, Suleiman AA, Sada SS, Ringim MZ. A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. JPAS. (2022), [cited November 12, 2022]; 22(1): 1-10. doi:10.5455/sf.aaosi2



Harvard Style

Osi, A. A., Abdu, . M., Dikko, . H. G., Muhammad, . U., Ibrahim, . A., Ismail, . L. A., Suleiman, . A. A., Sada, . S. S. & Ringim, . M. Z. (2022) A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. JPAS, 22 (1), 1-10. doi:10.5455/sf.aaosi2



Turabian Style

Osi, Abdulhameed Ado, Mannir Abdu, Hussaini Garba Dikko, Usman Muhammad, Auwalu Ibrahim, Lawan Adamu Ismail, Ahamd Abubakar Suleiman, Safiya Sani Sada, and Muftahu Zubairu Ringim. 2022. A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. Science Forum (Journal of Pure and Applied Sciences), 22 (1), 1-10. doi:10.5455/sf.aaosi2



Chicago Style

Osi, Abdulhameed Ado, Mannir Abdu, Hussaini Garba Dikko, Usman Muhammad, Auwalu Ibrahim, Lawan Adamu Ismail, Ahamd Abubakar Suleiman, Safiya Sani Sada, and Muftahu Zubairu Ringim. "A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques." Science Forum (Journal of Pure and Applied Sciences) 22 (2022), 1-10. doi:10.5455/sf.aaosi2



MLA (The Modern Language Association) Style

Osi, Abdulhameed Ado, Mannir Abdu, Hussaini Garba Dikko, Usman Muhammad, Auwalu Ibrahim, Lawan Adamu Ismail, Ahamd Abubakar Suleiman, Safiya Sani Sada, and Muftahu Zubairu Ringim. "A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques." Science Forum (Journal of Pure and Applied Sciences) 22.1 (2022), 1-10. Print. doi:10.5455/sf.aaosi2



APA (American Psychological Association) Style

Osi, A. A., Abdu, . M., Dikko, . H. G., Muhammad, . U., Ibrahim, . A., Ismail, . L. A., Suleiman, . A. A., Sada, . S. S. & Ringim, . M. Z. (2022) A Classification Approach for Predicting COVID-19 Patient’s Survival Outcome with Machine Learning Techniques. Science Forum (Journal of Pure and Applied Sciences), 22 (1), 1-10. doi:10.5455/sf.aaosi2