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	<title>dataset shift &#8211; BIOENGINEER.ORG</title>
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		<title>AI Mortality Models Collapse When Moved Between Hospitals, Study Warns</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[AUC-ROC]]></category>
		<category><![CDATA[calibration]]></category>
		<category><![CDATA[clinical prediction models]]></category>
		<category><![CDATA[dataset shift]]></category>
		<category><![CDATA[decision threshold]]></category>
		<category><![CDATA[eICU database]]></category>
		<category><![CDATA[false positives]]></category>
		<category><![CDATA[health informatics]]></category>
		<category><![CDATA[ICU mortality]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MIMIC-III]]></category>
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					<description><![CDATA[A new study transferred ICU mortality prediction models between two clinical databases and found that fixed decision thresholds can silently erase their ability to detect dying patients even when ranking metrics look acceptable.]]></description>
		
		
		
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