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	<title>counterfactual event planner &#8211; BIOENGINEER.ORG</title>
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		<title>AI Model Estimates Individual Effects of Nursing Care in Cancer Patients With Heart Risks</title>
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		<pubDate>Mon, 19 Oct 2026 08:37:47 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Bayesian outcome updating]]></category>
		<category><![CDATA[cardio-oncology]]></category>
		<category><![CDATA[Cardiovascular risk factors]]></category>
		<category><![CDATA[Causal Inference]]></category>
		<category><![CDATA[Clinical decision support]]></category>
		<category><![CDATA[counterfactual event planner]]></category>
		<category><![CDATA[Critical Care]]></category>
		<category><![CDATA[eICU database]]></category>
		<category><![CDATA[electronic health records]]></category>
		<category><![CDATA[individualized treatment effect]]></category>
		<category><![CDATA[MIMIC-IV]]></category>
		<category><![CDATA[Oncology nursing]]></category>
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					<description><![CDATA[A new counterfactual machine learning framework estimates how alternative acute nursing care strategies would individually affect critically ill oncology patients with cardiovascular risk factors, outperforming statistical, neural, and causal inference baselines across two large critical care databases.]]></description>
		
		
		
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