Performance comparison of pneumonia prediction using several feature optimization approaches (i.e., RF, RFE and ANOVA).

<p>Performance comparison of pneumonia prediction using several feature optimization approaches (i.e., RF, RFE and ANOVA).</p>

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shuvo Biswas (21728782) (author)
مؤلفون آخرون:	Rafid Mostafiz (21728788) (author), Mohammad Shorif Uddin (21736627) (author), Muhammad Shahin Uddin (21728785) (author)
منشور في:	2025
الموضوعات:	Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified presents significant challenges local interpretable model consistent generative adversarial xlink "> pneumonia accurately diagnose pneumonia 498 pneumonia ). sensitive clinical data framework &# 8217 ensuring timely treatment enhance feature extraction combines federated learning rfe ), analysis augmented chest x study introduces flpnexainet four ensemble dl federated deep learning edl network achieving 402 cxr images deep learning pneumonia prediction treatment due training data machine learning feature optimization effective framework svm ), augmented using anova ), various viruses three pre robust solution respiratory conditions relevant features random forest precision 98 optimized features nearest neighbor including k healthcare professionals flpnexainet offers extract features explainable ai comprising 8 best results augmented dataset agnostic explanations accuracy 97 904 normal 59 %. 13 %,
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