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	<title>Model Performance Optimization** **Açıklama:** 1. **Machine Learning in Healthcare:** Makinenin sağlık alanındaki genel uygulamasını ve dönüştürücü potansiy &#8211; BIOENGINEER.ORG</title>
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		<title>Transforming Data: Preprocessing’s Impact on Liver Disease Detection</title>
		<link>https://bioengineer.org/transforming-data-preprocessings-impact-on-liver-disease-detection/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 12 Dec 2025 03:12:20 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Data Preprocessing Impact]]></category>
		<category><![CDATA[Healthcare Data Transformation]]></category>
		<category><![CDATA[Liver Disease Detection]]></category>
		<category><![CDATA[Makalenin içeriği ve vurgulanan ana temalar dikkate alınarak en uygun 5 etiket: **Machine Learning in Healthcare]]></category>
		<category><![CDATA[Model Performance Optimization** **Açıklama:** 1. **Machine Learning in Healthcare:** Makinenin sağlık alanındaki genel uygulamasını ve dönüştürücü potansiy]]></category>
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					<description><![CDATA[In recent years, the rapid advancement of machine learning (ML) has sparked a transformative wave in various fields, particularly in healthcare. One area poised to benefit dramatically is liver disease detection. Recent research conducted by Mohapatra, Jolly, and Dakua underscores the crucial role of preprocessing in enhancing the efficacy of machine learning algorithms in diagnosing [&#8230;]]]></description>
		
		
		
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