Change in Normal Health Condition Due to COVID-19 Infection: Analysis by ANFIS Technique.
Iran J Sci Technol Trans A Sci
; 46(5): 1327-1338, 2022.
Article
in English
| MEDLINE | ID: covidwho-2027750
ABSTRACT
The COVID-19 pandemic has crippled the world population. Our present work aims to formulate a model to analyze the change in normal health conditions due to COVID-19 infection. For this purpose, we have collected data of seven parameters, namely, age, systolic pressure (SP), diastolic paper (DP), respiratory distress (RD), fasting blood sugar (FBS), cholesterol (CHL), and insomnia (INS) of 156 persons of Birnagar municipality, Nadia, India; before and after COVID-19 infection. Ultimately, using an adaptive neuro-fuzzy inference system (ANFIS), we have formulated our desired model, a Takagi-Sugeno fuzzy inference system. Further, with the help of this model, we have established one's change in health condition with age due to COVID-19 infection. Finally, we have derived that older people are more affected by COVID-19 infection than younger people.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Experimental Studies
Language:
English
Journal:
Iran J Sci Technol Trans A Sci
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS