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A model to analyze the impact of covid-19 implementing data science techniques
Author(s):
1. Kusum Yadav: College of Computer Science and Engineering, University of Ha’il Kingdom of Saudi Arabia
2. Lulwah M. Alkwai: College of Computer Science and Engineering, University of Ha’il Kingdom of Saudi Arabia
Abstract:
Current technology like Artificial Intelligence (AI), IoT, data analysis, and pattern recognition must be embraced to manage and counter emerging diseases to provide healthcare services. As decisive technology, we plan to assess the role of data science in the understanding, planning, and management of COVID-19 (corona-virus) and other pandemics. The present global pandemic challenges of COVID-19 have exceeded the provincial and radical limits, concepts, spiritual, social, and educational limits. The data science healthcare system, enabled through an interconnected network, is useful to properly monitor COVID-19 patients. This technology increases patient satisfaction and reduces the hospital readmission rate. Contributes to COVID-19 are the science and technology industries which comprise data science, machine learning, and Data Science. Objective: The objective of this work is to discover various aspects of modern techniques used to combat COVID-19 crises at different scales, including the processing of medical images, monitoring of diseases, predictions, computational biology, and medicines. Methods: The database relating to modern technology has been searched gradually for COVID-19. Furthermore, the information extracted will be briefly reviewed by evaluating various aspects of modern COVID-19 pandemic technology.
Page(s): 387-394
DOI: DOI not available
Published: Journal: Science International, Volume: 32, Issue: 4, Year: 2020
Keywords:
COVID19 , Pattern Recognition Algorithms
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