Open AccessAutomatic extraction of knowledge for diagnosing COVID-19 disease based on text mining techniques: A systematic review
Author(s) -
Amir Yasseen Mahdi,
Siti Sophiayati Yuhaniz
Publication year - 2021
Publication title -
periodicals of engineering and natural sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 11
ISSN - 2303-4521
DOI - 10.21533/pen.v9i2.1945
Subject(s) - artificial intelligence , computer science , machine learning , context (archaeology) , data science , data extraction , covid-19 , scopus , knowledge extraction , information extraction , bottleneck , big data , systematic review , disease , medline , data mining , infectious disease (medical specialty) , medicine , geography , archaeology , pathology , political science , law , embedded system