PropertyValue
?:abstract
  • This study aims to identify the released factors for patients infected by SARS CoV 2 virus By taking samples from South Korea Country, then we were using the data mining process for classifying problems by optimizing the decision tree model from RapidMiner Studio educational 9 6 00 edition Based on our study showed that the accuracy of this model is 80 46% +/- 1 68% (micro average 80 46%) The result for this study showed that location or region is a dominant factor rather than age and sex, therefore the South Korea policy to take the drive-through, walk-through, tracing, and use digital maps to let society aware is effective to prevent the spreads of diseases The Implication of this study reconfirms that stay away from an infected area or social distancing such as staying at home is the right decision to minimize and reduce pandemic spreads, and other countries can adopt or modify the strategy that already did in South Korea © 2005 - ongoing JATIT & LLS
is ?:annotates of
?:creator
?:journal
  • Journal_of_Theoretical_and_Applied_Information_Technology
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Optimizing decision tree criteria to identify the released factors of covid-19 patients in south korea
?:type
?:who_covidence_id
  • #832388
?:year
  • 2020

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