Acta Scientific Medical Sciences (ASMS)(ISSN: 2582-0931)

Review Article Volume 4 Issue 11

An Intelligent Virus Infection Detecting System based on Immunoglobulin’s (IgM and IgG): Proposed Model

Mittal Desai1* and Atul Patel2

1Assistant Professor, Faculty of Computer Science, CHARUSAT, Changa, Gujarat, India
2Professor and Dean, Faculty of Computer Science, CHARUSAT, Changa, Gujarat, India

*Corresponding Author: Mittal Desai, Assistant Professor, MCA, CMPICA, CHARUSAT, Changa, Gujarat, India.

Received: September 25, 2020; Published: October 28, 2020



  The potential information remains in the blood test results. Currently the whole world is under the outbreak of Coronavirus diseases 2019 (COVID19), so there is a need of developing an accurate assisting tool that analyzes the immune system of healthy persons and COVID19 infected persons. In this paper an intelligent model is proposed for the same, in the context of mainly comparing immunoglobulin (IgM and IgG) from blood test results. Furthermore, various combinations of IgM, IgG and other immunoglobulin’s will be studied for identifying severity of diseases. The aim of the study is to build preventive intelligent model that can predict human body is currently fighting with some unknown infection or not and severity of it.

Keywords: Expert System (ES); Immune System; Immunoglobulin; Machine Learning; Prediction Model; RT-PCR



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Citation: Mittal Desai and Atul Patel. “An Intelligent Virus Infection Detecting System based on Immunoglobulin’s (IgM and IgG): Proposed Model". Acta Scientific Medical Sciences 4.11 (2020): 108-111.


Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.403

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