Artificial neural network and logistic regression modelling to characterize COVID-19 infected patients in local areas of Iran

Artificial neural network and logistic regression modelling to characterize COVID-19 infected patients in local areas of Iran

Background: COVID-19 is an infectious disease that started spreading globally at the end of 2019. Due to differences in patient characteristics and symptoms in different regions, in this research, a comparative study was performed on COVID-19 patients in 6 provinces of Iran. Also, multilayer percept...

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Bibliographic Details
Main Authors: Farzaneh Mohammadi, Hamidreza Pourzamani, Hossein Karimi, Maryam Mohammadi, Mohammad Mohammadi, Nahid Ardalan, Roya Khoshravesh, Hassan Pooresmaeil, Samaneh Shahabi, Mostafa Sabahi, Fatemeh Sadat miryonesi, Marzieh Najafi, Zeynab Yavari, Farideh Mohammadi, Hakimeh Teiri, Mahsa Jannati
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Biomedical Journal
Subjects:
COVID-19
Symptom
Epidemiology
Model
ANN
Logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2319417021000123

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http://www.sciencedirect.com/science/article/pii/S2319417021000123

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