<?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>COVID Archives - A-Medicare</title>
	<atom:link href="https://a-medicare.com/tag/covid/feed/" rel="self" type="application/rss+xml" />
	<link>https://a-medicare.com/tag/covid/</link>
	<description>The Ultimate Destination for Healthcare</description>
	<lastBuildDate>Sun, 14 Aug 2022 22:53:27 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://a-medicare.com/wp-content/uploads/2022/01/PrefLogogold_512x512-150x150.png</url>
	<title>COVID Archives - A-Medicare</title>
	<link>https://a-medicare.com/tag/covid/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans</title>
		<link>https://a-medicare.com/common-pitfalls-and-recommendations-for-using-machine-learning-to-detect-and-prognosticate-for-covid-19-using-chest-radiographs-and-ct-scans/</link>
		
		<dc:creator><![CDATA[iCare]]></dc:creator>
		<pubDate>Sun, 13 Jun 2021 09:36:43 +0000</pubDate>
				<category><![CDATA[Industry Insight]]></category>
		<category><![CDATA[Research Considerations]]></category>
		<category><![CDATA[COVID]]></category>
		<category><![CDATA[research]]></category>
		<guid isPermaLink="false">https://www.a-medicare.org/?p=2298</guid>

					<description><![CDATA[<p>Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Back Abstract Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed tomography (CT) images. Many articles have been&#8230;</p>
<p>The post <a href="https://a-medicare.com/common-pitfalls-and-recommendations-for-using-machine-learning-to-detect-and-prognosticate-for-covid-19-using-chest-radiographs-and-ct-scans/">Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans</a> appeared first on <a href="https://a-medicare.com">A-Medicare</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal</title>
		<link>https://a-medicare.com/prediction-models-for-diagnosis-and-prognosis-of-covid-19-systematic-review-and-critical-appraisal/</link>
		
		<dc:creator><![CDATA[iCare]]></dc:creator>
		<pubDate>Tue, 12 Jan 2021 16:01:07 +0000</pubDate>
				<category><![CDATA[Industry Insight]]></category>
		<category><![CDATA[Research Considerations]]></category>
		<category><![CDATA[COVID]]></category>
		<category><![CDATA[research]]></category>
		<guid isPermaLink="false">https://www.a-medicare.org/?p=2301</guid>

					<description><![CDATA[<p>Back to homepage Abstract Final version accepted 12 January 2021 Objective To review and appraise the validity and usefulness of published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of covid-19&#8230;</p>
<p>The post <a href="https://a-medicare.com/prediction-models-for-diagnosis-and-prognosis-of-covid-19-systematic-review-and-critical-appraisal/">Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal</a> appeared first on <a href="https://a-medicare.com">A-Medicare</a>.</p>
]]></description>
		
		
		
			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/?utm_source=w3tc&utm_medium=footer_comment&utm_campaign=free_plugin

Object Caching 0/201 objects using Memcache
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Minified using Disk
Database Caching 1/112 queries in 0.103 seconds using Disk (Request-wide modification query)

Served from: a-medicare.com @ 2026-04-01 15:30:09 by W3 Total Cache
-->