Fuzzy logic-based pneumonia severity classification using membership contribution.

<p>Fuzzy logic-based pneumonia severity classification using membership contribution.</p>

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Bibliographic Details
Main Author:	Sulav Baral (22477755) (author)
Other Authors:	Rabindra Bista (22477758) (author), Sanjog Sigdel (22477761) (author), João C. Ferreira (22477764) (author)
Published:	2025
Subjects:	Genetics Biotechnology Developmental Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified style fuzzy inference mortality among children monte carlo methods integrates deep learning incorporating recent trends hybrid model offers hybrid artificial intelligence fuzzy membership input extract spatial features evaluated using 17 dynamic adjustment algorithm world medical decision clinically relevant decision refined symptom severity enhance diagnostic accuracy capsnet architecture achieved capsnet ), mamdani fuzzy inference system five dataset iterations xlink "> pneumonia confidence score guided xlink "> final decision test accuracy severity scores pneumonia diagnosis confidence scores weighted precision test confirmed support tool support classification subjective interpretation study aims skilled radiologists often hindered nearly tied major cause highest performance hierarchical relationships early diagnosis capsule network bridges high borderline cases 01 %.
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