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		<title>Machine learning predicts next-year fitness assessment failure in university students</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[logistic regression]]></category>
		<category><![CDATA[longitudinal data]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[out-of-time validation]]></category>
		<category><![CDATA[physical fitness]]></category>
		<category><![CDATA[Predicting]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[risk prediction]]></category>
		<category><![CDATA[SHAP analysis]]></category>
		<category><![CDATA[subsequent-year]]></category>
		<category><![CDATA[university students]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[A longitudinal study at one Chinese university found that annual fitness measurements helped predict subsequent-year assessment failure, although performance varied across algorithms and outcome definitions.]]></description>
		
		
		
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