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	<title>Gradient Boosting Regression Trees &#8211; BIOENGINEER.ORG</title>
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	<title>Gradient Boosting Regression Trees &#8211; BIOENGINEER.ORG</title>
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		<title>Gradient Boosting Reveals Cost Drivers in Laparoscopic Surgery</title>
		<link>https://bioengineer.org/gradient-boosting-reveals-cost-drivers-in-laparoscopic-surgery/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 19:44:29 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[araştırmanın amacını (Cost Drivers) ve genel bağlamını (Healthcare Economics) kapsayacak şekilde se]]></category>
		<category><![CDATA[Cost Drivers]]></category>
		<category><![CDATA[Elderly Patients]]></category>
		<category><![CDATA[Gradient Boosting Regression Trees]]></category>
		<category><![CDATA[Healthcare Economics *Bu etiketler makalenin temel konusunu (laparoskopik cerrahi ve yaşlı hastalar)]]></category>
		<category><![CDATA[kullanılan ana yöntemi (Gradient Boosting Regression Trees)]]></category>
		<category><![CDATA[Laparoscopic Surgery]]></category>
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					<description><![CDATA[In a groundbreaking study conducted by Hu, Liu, and Liu, researchers have ventured into the intricate realm of healthcare economics, particularly focusing on laparoscopic surgery for elderly patients. This innovative investigation leverages advanced machine learning techniques, specifically gradient boosting regression trees, to discern the underlying cost drivers associated with these surgical procedures. The significance of [&#8230;]]]></description>
		
		
		
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