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Information Mining For Covid-19 Research From A Large Volume Of Scientific Literature, Sabber Ahamed, Manar D. Samad
Information Mining For Covid-19 Research From A Large Volume Of Scientific Literature, Sabber Ahamed, Manar D. Samad
Computer Science Faculty Research
The year 2020 has seen an unprecedented COVID-19 pandemic due to the outbreak of a novel strain of coronavirus in 180 countries. In a desperate effort to discover new drugs and vaccines for COVID-19, many scientists are working around the clock. Their valuable time and effort may benefit from computer-based mining of a large volume of health science literature that is a treasure trove of information. In this paper, we have developed a graph-based model using abstracts of 10,683 scientific articles to find key information on three topics: transmission, drug types, and genome research related to coronavirus. A subgraph is …