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ADVANCED MACHINE LEARNING FRAMEWORKS FOR PNEUMONIA DIAGNOSIS: INTEGRATING MULTIMODAL SIGNALS AND PRIVACY-PRESERVING TECHNIQUES

Faizan AbbasMedical Student, Samarkand state medical university, Uzbekistan,ArshadMedical Student, Samarkand state medical university, Uzbekistan,Wajiha BatoolMedical Student, Samarkand state medical university, Uzbekistan,Saurabh Kumar Kushwaha, Medical Student, Samarkand state medical university, Uzbekistan [email protected]
ABI

Abstract

Pneumonia remains a leading cause of morbidity and mortality worldwide, disproportionately affecting vulnerable populations such as young children and the elderly. Traditional diagnostic workflows, which heavily rely on manual triage and resource-intensive imaging assessments, are increasingly strained by rising patient volumes in emergency departments.

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