The Use of Artificial Intelligence in Data Analysis with Error Recognitions in Liver Transplantation in HIV-AIDS Patients Using Modified ABC Fractional Order Operators

In this article, we focused on the fractional order modeling, simulations and neural networking to observe the correlation between severity of infection in HIV-AIDS patients and the role of treatments and control. The model is structured with eight classes and a modified Atangana–Baleanu derivative...

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Veröffentlicht in:	Fractal and fractional 2025-01, Vol.9 (1), p.16
Hauptverfasser:	Khan, Hasib, Alzabut, Jehad, Almutairi, D. K., Alqurashi, Wafa Khalaf
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome AIDS Artificial intelligence Clustering Data analysis Disease transmission Error analysis HIV Human immunodeficiency virus infection Infectious diseases mABC-HIV-AIDS model neural networking Operators (mathematics) Parameter modification Qualitative analysis recovery Regression models Software Statistical analysis treatment
Online-Zugang:	Volltext
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