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		<title>Two-phase swarm algorithm trims medical feature sets without losing accuracy</title>
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		<pubDate>Sun, 11 Oct 2026 05:50:51 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Al-Biruni Earth Radius algorithm]]></category>
		<category><![CDATA[brain storm optimization]]></category>
		<category><![CDATA[clinical diagnostics]]></category>
		<category><![CDATA[data leakage]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[Harris Hawks Optimization]]></category>
		<category><![CDATA[hybridization]]></category>
		<category><![CDATA[medical machine learning]]></category>
		<category><![CDATA[metaheuristics]]></category>
		<category><![CDATA[particle swarm optimization]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[statistical validation]]></category>
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					<description><![CDATA[A sequential hybrid metaheuristic framework combining PSO, HHO, or BSO with the Binary Al-Biruni Earth Radius algorithm produces more compact medical feature subsets at preserved accuracy, according to statistically rigorous benchmarks.]]></description>
		
		
		
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