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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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2025-08-01
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| Serier: | Alexandria Engineering Journal |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S1110016825007719 |
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