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Author

Yisa Babatunde Bakare

2 papers indexed here

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Open access Sep 2026

Intelligent System for Real Time Type and Severity Classification of Malaria using Ensemble Learning Approach

This research aimed to develop a machine learning-based system for classifying the severity of malaria, with a focus on cerebral malaria. The dataset was sourced from various healthcare records and features symptoms such as seizures, altered mental status, headache, vomiting, and focal neurological deficits, along with...

Yisa Babatunde Bakare · 1 citation
Open access Sep 2026

Machine Learning System for Asthma Severity Detection Based on Support Vector Machine

Detecting the severity of contagious respiratory illnesses early is essential for effective treatment and healthcare planning. This study explores how machine learning, specifically Support Vector Machine (SVM) and Random Forest (RF), can help classify and predict illness severity based on patient symptoms and clinical...

Yisa Babatunde Bakare · 2 citations · ⚡1

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