2020

Information Mining for COVID-19 Research From a Large Volume of Scientific Literature

Ahamed, Sabber, Samad, Manar

Understand

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.

Reading the bibliography…