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Machine Learning Model for Predicting Number of COVID-19 Cases in Countries with Low Number of Tests
Author(s) -
Samy Hashim,
Sally Farooq,
Eleni Syriopoulos,
Kai de la Lande Cremer,
Alexander Vogt,
Nol de Jong,
Victor L. Aguado,
Mihai Popescu,
Ashraf K. Mohamed,
Muhamed Amin
Publication year - 2022
Publication title -
the open bioinformatics journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 8
ISSN - 1875-0362
DOI - 10.2174/18750362-v15-e2208290
Subject(s) - covid-19 , population , statistics , pandemic , regression , correlation , linear regression , artificial neural network , gini coefficient , regression analysis , computer science , econometrics , demography , machine learning , artificial intelligence , medicine , mathematics , inequality , environmental health , economic inequality , mathematical analysis , geometry , disease , pathology , sociology , infectious disease (medical specialty)

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