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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Anomaly Detection in Healthcare - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="1SNPvjNP32"&gt;&lt;a href="https://glosarix.com/en/glossary/anomaly-detection-in-healthcare-en/"&gt;Anomaly Detection in Healthcare&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/anomaly-detection-in-healthcare-en/embed/#?secret=1SNPvjNP32" width="600" height="338" title="&#x201C;Anomaly Detection in Healthcare&#x201D; &#x2014; Glosarix" data-secret="1SNPvjNP32" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Anomaly detection in health refers to the identification of unusual patterns in data related to individuals&#x2019; health. This process is crucial for the prevention and early diagnosis of diseases, as it allows healthcare professionals to identify conditions that might go unnoticed in conventional analysis. Anomaly detection relies on the analysis of large volumes of [&hellip;]</description></oembed>
