Yenurkar, G. K., Mal, S., Nyangaresi, V. O., Hedau, A., Hatwar, P., Rajurkar, S., & Khobragade, J. (2023). Multifactor data analysis to forecast an individual’s severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms. Engineering Reports, 5(12), 1-18. https://doi.org/10.1002/eng2.12678

YENURKAR, Ganesh Keshaorao, MAL, Sandip, NYANGARESI, Vincent O., HEDAU, Anshul, HATWAR, Prajwal, RAJURKAR, Shreyas and KHOBRAGADE, Juli, 2023. Multifactor data analysis to forecast an individual’s severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms. Engineering Reports. 1 December 2023. Vol. 5, no. 12, p. 1-18. DOI 10.1002/eng2.12678.

Yenurkar, G. K., S. Mal, V. O. Nyangaresi, A. Hedau, P. Hatwar, S. Rajurkar, and J. Khobragade. “Multifactor Data Analysis to Forecast an individual’s Severity over Novel COVID‐19 Pandemic Using Extreme Gradient Boosting and Random Forest Classifier Algorithms.”. Engineering Reports, vol. 5, no. 12, Dec. 2023, pp. 1-18, https://doi.org/10.1002/eng2.12678.

Yenurkar, Ganesh Keshaorao/Mal, Sandip/Nyangaresi, Vincent O./Hedau, Anshul/Hatwar, Prajwal/Rajurkar, Shreyas et al.: Multifactor data analysis to forecast an individual’s severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms., Engineering Reports 2023, 1-18.

Yenurkar, G.K., Mal, S., Nyangaresi, V.O., Hedau, A., Hatwar, P., Rajurkar, S. and Khobragade, J. (2023), “Multifactor data analysis to forecast an individual’s severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms.”, Engineering Reports, Vol. 5 No. 12, pp. 1-18.