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		<title>Machine learning maps England&#8217;s costliest patients into nine distinct groups</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[CPRD]]></category>
		<category><![CDATA[England]]></category>
		<category><![CDATA[health economics]]></category>
		<category><![CDATA[healthcare costs]]></category>
		<category><![CDATA[hierarchical clustering]]></category>
		<category><![CDATA[high-cost patients]]></category>
		<category><![CDATA[Hospital Episode Statistics]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Multimorbidity]]></category>
		<category><![CDATA[NHS]]></category>
		<category><![CDATA[patient segmentation]]></category>
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					<description><![CDATA[A machine learning analysis of over ten million English adults shows the top one percent of patients by cost account for 26.8 percent of healthcare spending and fall into nine distinct clinical and sociodemographic clusters.]]></description>
		
		
		
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