The Relevance of Fuzzy Logic in the Prediction of Clinical Progression from HIV to AIDS

Hemlata Sahay; Shubhnesh Kumar Goyal

doi:https://doi.org/10.14445/22315373/IJMTT-V68I12P508

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 68 | Issue 12 | Year 2022 | Article Id. IJMTT-V68I12P508 | DOI : https://doi.org/10.14445/22315373/IJMTT-V68I12P508

The Relevance of Fuzzy Logic in the Prediction of Clinical Progression from HIV to AIDS

Hemlata Sahay, Shubhnesh Kumar Goyal

Received	Revised	Accepted	Published
24 Oct 2022	30 Nov 2022	13 Dec 2022	31 Dec 2022

Abstract

The development of methods to forecast an individual's clinical course after the acute phase of infection is over is crucial to effective treatment and management of the infection. However, there are still a number of questions that need to be answered about the connection between possible markers and clinical course. In this piece of work, we provide a model that makes use of fuzzy logic in order to establish a connection between the amount of HIV in a person's system, the number of T cells, and the clinical progression to AIDS in HIV-positive individuals.

Keywords

Viral load, T cells, Fuzzy logic, Centoid defuzzification.

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Citation :

Hemlata Sahay, Shubhnesh Kumar Goyal, "The Relevance of Fuzzy Logic in the Prediction of Clinical Progression from HIV to AIDS," International Journal of Mathematics Trends and Technology (IJMTT), vol. 68, no. 12, pp. 61-66, 2022. Crossref, https://doi.org/10.14445/22315373/IJMTT-V68I12P508