<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Group-Based Trajectory Modeling &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/group-based-trajectory-modeling/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Fri, 23 Jan 2026 02:46:11 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.0</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>Group-Based Trajectory Modeling &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Mapping Neurodevelopment in Preterm Infants Using Machine Learning</title>
		<link>https://bioengineer.org/mapping-neurodevelopment-in-preterm-infants-using-machine-learning/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 23 Jan 2026 02:45:49 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[early intervention strategies** **Açıklama:** 1. **preterm infants:** Makalenin temel odağı olan grup. 2. **neurodevelopmental trajectories:** Araştırmanın incelediği ana süreç ve sonuçlar (gelişimsel]]></category>
		<category><![CDATA[Early Intervention Strategies** **Kısa açıklama:** 1. **Preterm Infant Neurodevelopment:** Makalenin ana konusu. 2. **Group-Based Trajectory Modeling:** Araştırmada kullanılan temel istat]]></category>
		<category><![CDATA[Group-Based Trajectory Modeling]]></category>
		<category><![CDATA[interpretable machine learning]]></category>
		<category><![CDATA[İşte bu içerik için 5 uygun etiket: **Preterm infants]]></category>
		<category><![CDATA[İşte bu içerik için uygun 5 etiket (İngilizce): **Preterm Infant Neurodevelopment]]></category>
		<category><![CDATA[Neurodevelopmental Trajectories]]></category>
		<category><![CDATA[Pediatric Predictive Analytics]]></category>
		<guid isPermaLink="false">https://bioengineer.org/mapping-neurodevelopment-in-preterm-infants-using-machine-learning/</guid>

					<description><![CDATA[Preterm birth remains a significant public health concern, affecting approximately 1 in 10 infants globally. These premature infants face various challenges in their early stages of life, particularly in terms of neurodevelopment. Recent research has utilized innovative methodologies, such as group-based trajectory modeling and interpretable machine learning, to explore the complex interplay of factors influencing [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">319603</post-id>	</item>
	</channel>
</rss>
