A Novel Decision-Making Process for COVID-19 Fighting Based on Association Rules and Bayesian Methods | Zendy

Salim El Khediri | Zendy; Adel Thaljaoui | Zendy; Fayez Alfayez | Zendy

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A Novel Decision-Making Process for COVID-19 Fighting Based on Association Rules and Bayesian Methods

Author(s) -

Salim El Khediri,

Adel Thaljaoui,

Fayez Alfayez

Publication year - 2021

Publication title -

the computer journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.319

H-Index - 64

eISSN - 1460-2067

pISSN - 0010-4620

DOI - 10.1093/comjnl/bxab071

Subject(s) - computer science , covid-19 , process (computing) , association rule learning , artificial intelligence , bayesian network , bayesian probability , construct (python library) , isolation (microbiology) , decision making , machine learning , clinical decision making , association (psychology) , pandemic , data mining , risk analysis (engineering) , medicine , operations management , engineering , bioinformatics , infectious disease (medical specialty) , psychology , disease , pathology , purchasing , intensive care medicine , psychotherapist , biology , programming language , operating system

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