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A computational diagnostic model for infectious diseases via similarity measures on N-framed plithogenic hypersoft sets

In healthcare, tracking evolving symptoms is a tough task. Symptoms do not stay fixed. They shift, overlap, and change over time, often leaving clinicians unsure of what is happening. Imagine a patient with a fever that spikes one day, drops the next, and then climbs again. Is it malaria? Dengue? Or...

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Bibliographic Details
Main Authors: Muhammad Rayees Ahmad, Usman Afzal, Nadir Omer, Ali Delham Algarni, Sara A. Ghorashi, Huda Eltayeb
Format: Artigo
Language:Inglês
Published: Elsevier 2025-08-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016825007719
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