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Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based...

Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_da97297e48c04433bbcf8c712ed157aa

Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based on Image Analysis

About this item

Full title

Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based on Image Analysis

Publisher

Zielona Góra: Sciendo

Journal title

International journal of applied mathematics and computer science, 2024-12, Vol.34 (4), p.549-563

Language

English

Formats

Publication information

Publisher

Zielona Góra: Sciendo

More information

Scope and Contents

Contents

Infectious diseases significantly impact global mortality rates, with their complex symptoms complicating the assessment and determination of infection severity. Various countries grapple with different forms of these diseases. This research utilizes three AI-based decision-making techniques to refine diagnostic processes through the analysis of me...

Alternative Titles

Full title

Optimizing Infectious Disease Diagnostics through AI–Driven Hybrid Decision Making Structures based on Image Analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_da97297e48c04433bbcf8c712ed157aa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_da97297e48c04433bbcf8c712ed157aa

Other Identifiers

ISSN

1641-876X

E-ISSN

2083-8492

DOI

10.61822/amcs-2024-0037

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