Open AccessPredicting the Probability of Infected with Lung Failure in Covid-19 Patients Using a Logistic Regression Model
Author(s) -
Sabah Hasan Jasim
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19074
Subject(s) - logistic regression , statistic , regression analysis , covid-19 , statistics , medicine , disease , variables , mathematics , infectious disease (medical specialty)
Logistic regression has increased in social and medical sciences and in education research. A program SPSS version (22) was used to estimate the logistic regression model after entering the required information. Discussion of the results obtained through the use of the outputs the results to analysis and discussion. The model was applied, about 125 samples for Covid-19 patient was entered from people has Covid-19 disease, and all independent variables were entered to infer the adoption of lung infection and its relationship to the variables together. The aims of study were probability of infected with covid-19 disease regarding to use some variables and forecasting probability infected with lung failure in Covid-19 patients which lead to cytokine syndrome and death. Use the logistic regression in medical fields as a statistic analysis tools.