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	<title>Health Data Analysis &#8211; BIOENGINEER.ORG</title>
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		<title>Discovering Geriatric Syndromes in Electronic Health Records</title>
		<link>https://bioengineer.org/discovering-geriatric-syndromes-in-electronic-health-records/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sat, 10 Jan 2026 03:01:21 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[delirium]]></category>
		<category><![CDATA[elderly care]]></category>
		<category><![CDATA[electronic health records]]></category>
		<category><![CDATA[falls gibi sendromların tanımlanması ve yönetimi. 2. **]]></category>
		<category><![CDATA[Frailty]]></category>
		<category><![CDATA[Health Data Analysis]]></category>
		<category><![CDATA[İşte içerik için uygun 5 adet etiket: `Geriatric Syndromes]]></category>
		<category><![CDATA[Preventive Healthcare` **Seçimlerin Kısa Açıklaması:** 1. **Geriatric Syndromes:** Makalenin temel konusu]]></category>
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					<description><![CDATA[The burgeoning field of geriatric medicine is continually evolving, with researchers striving to improve the quality of care for older adults. One monumental approach gaining traction is the extraction of geriatric syndromes from electronic health records (EHRs). This technique holds immense promise for efficiently identifying multifaceted health issues commonly faced by the elderly population. In [&#8230;]]]></description>
		
		
		
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