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    <title>HCn3D Under the Covers</title>
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    <description>Musings and conversation on the tech of Healthcare in 3 Dimensions </description>
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    <pubDate>Tue, 07 Apr 2026 01:13:06 GMT</pubDate>
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      <title>How does it work?</title>
      <link>https://hcn3d.org/Introduction/Blogs/Post/247/How-does-it-work</link>
      <description>&lt;p&gt;&lt;img alt="" src="/Portals/0/Images/HeadWithNodeNet.Lighter.png" style="margin-top: 0px; margin-bottom: 3px; margin-left: 10px; float: right; max-width: 100px;" /&gt; The goal of this article is to summarize how HCn3D uses &lt;a data-bs-content="In HCn3D is an iterative form of “Semi-Supervised Learning” whereby feedback is counterfactually analyzed for the next iteration. The process evaluates its actions based on outcomes compared with known patient journeys. Its aim is to learn sequences of actions that will achieve the goal of predicting the patient’s possible futures (Future Value Outcomes)" data-bs-original-title="Reinforcement Learning" data-bs-placement="top" data-bs-toggle="popover" data-bs-trigger="hover" data-plugin-popover="popover" href="/Home/Glossary?Find=Reinforcement+Learning" style="border-bottom: 1px dotted #999; text-decoration: none;" title=""&gt;Reinforcement Learning&lt;/a&gt; to identify potential &lt;a data-bs-content="The condition of a patient after treatment or series of treatments along the care path including the degree of wellness and the need for continuing care, medication, support, counseling, or education." data-bs-original-title="Outcomes" data-bs-placement="top" data-bs-toggle="popover" data-bs-trigger="hover" data-plugin-popover="popover" href="/Home/Glossary?Find=Outcomes" style="border-bottom: 1px dotted #999; text-decoration: none;" title=""&gt;outcomes&lt;/a&gt; without getting too technical by delving into &lt;a data-bs-content="A computer science in which a model (program) is trained to recognize patterns in data without explicitly being told what to look for." data-bs-original-title="Machine Learning" data-bs-placement="top" data-bs-toggle="popover" data-bs-trigger="hover" data-plugin-popover="popover" href="/Home/Glossary?Find=Machine+Learning" style="border-bottom: 1px dotted #999; text-decoration: none;" title=""&gt;machine learning&lt;/a&gt; functions and algorithms. We won&amp;rsquo;t be trying to make the reader a &amp;ldquo;&lt;a data-bs-content="Using data to glean insight. An intersection of multiple disciplines including, but not limited to: data mining, statistics, analytics, information and computer sciences." data-bs-original-title="Data Science" data-bs-placement="top" data-bs-toggle="popover" data-bs-trigger="hover" data-plugin-popover="popover" href="/Home/Glossary?Find=Data Science" style="border-bottom: 1px dotted #999; text-decoration: none;" title=""&gt;data scientist&lt;/a&gt;&amp;rdquo; or &lt;a data-bs-content="For HCn3D it is the concept and development of machine learning systems than enable it to perform tasks with human like intelligence or wisdom. Specifically analysis of patient journeys using diverse broad based data sets that are part of the Healthcare Commons." data-bs-original-title="Artificial Intelligence" data-bs-placement="top" data-bs-toggle="popover" data-bs-trigger="hover" data-plugin-popover="popover" href="/Home/Glossary?Find=Artificial Intelligence" style="border-bottom: 1px dotted #999; text-decoration: none;" title=""&gt;AI&lt;/a&gt; expert.&lt;/p&gt;
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      <pubDate>Tue, 17 Sep 2019 15:52:00 GMT</pubDate>
      <blog:publishedon>2019-09-17 15:52:00Z</blog:publishedon>
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