Predicting COVID-19 Using JNN

International Journal of Academic Engineering Research (IJAER) 7 (10):52-61 (2023)
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Abstract

Abstract: In, this research embodies the spirit of interdisciplinary collaboration, bringing together data science, healthcare, and public health to address one of the most significant global health challenges in recent history. The achievements of this study underscore the potential of advanced machine learning techniques to enhance our understanding of the pandemic and guide effective decision-making. As we navigate the ongoing battle against COVID-19 and prepare for future health emergencies, the lessons learned from this research serve as a testament to the power of data-driven insights and the unwavering commitment of the global scientific community in the face of adversity.

Author's Profile

Samy S. Abu-Naser
North Dakota State University (PhD)

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