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		<title>AI Models Predict Recovery Risks Before Thymic Tumor Surgery</title>
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		<pubDate>Sun, 11 Oct 2026 04:15:35 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[decision tree]]></category>
		<category><![CDATA[external validation]]></category>
		<category><![CDATA[LASSO regression]]></category>
		<category><![CDATA[length of stay]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[postoperative complications]]></category>
		<category><![CDATA[Postoperative Pain]]></category>
		<category><![CDATA[risk prediction]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[thoracic surgery]]></category>
		<category><![CDATA[thymic epithelial tumors]]></category>
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					<description><![CDATA[Researchers in Shandong, China, have developed and externally validated machine learning models that use preoperative data to predict complications, prolonged hospital stay, and postoperative pain in patients undergoing surgery for thymic epithelial tumors.]]></description>
		
		
		
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