AbstractÂ
Processing big data based on machine learning tools and deep learning models have become crucial in finding solutions to various problems in different fields. In particular, artificial intelligence systems play a key role in improving performance and increasing the speed of a clinical decision for a given clinical issue. In that respect, the outbreak of the virus caused by SARS-CoV-2 across the world has caused panic and unrest among people which required the rapid intervention of bioinformatics researchers and health professionals to discover the relevant clinical treatment. The main concern of the paper is to emphasize the usefulness of artificial intelligence and Big Data analytic for treating diseases. Thus, it discusses the past success of artificial intelligence and big data analytic for healthcare applications. It also presents the current advancements in machine learning tools as well as deep learning models for processing data sets related to the COVID-19 virus. In addition to that, the proposed work puts emphasis on the requirements of artificial intelligence models to make suitable clinical decisions. And finally, it gives a proposed analysis of the main factors that help decrease the spread of a pandemic in the world.
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Dafir, Z., Slaoui, S. (2023). Achievements of Artificial Intelligence in the Past and During the COVID-19 Era to Tackle Deadly Diseases. In: Laribi, M.A., Carbone, G., Jiang, Z. (eds) Advances in Automation, Mechanical and Design Engineering. SAMDE 2021. Mechanisms and Machine Science, vol 121. Springer, Cham. https://doi.org/10.1007/978-3-031-09909-0_13
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