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	<id>https://mw.hh.se/caisr/index.php?action=history&amp;feed=atom&amp;title=Knowledge_graphs_4_XAI_in_Healthcare</id>
	<title>Knowledge graphs 4 XAI in Healthcare - Revision history</title>
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	<updated>2026-04-04T09:02:45Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://mw.hh.se/caisr/index.php?title=Knowledge_graphs_4_XAI_in_Healthcare&amp;diff=5620&amp;oldid=prev</id>
		<title>Islab at 10:15, 24 October 2025</title>
		<link rel="alternate" type="text/html" href="https://mw.hh.se/caisr/index.php?title=Knowledge_graphs_4_XAI_in_Healthcare&amp;diff=5620&amp;oldid=prev"/>
		<updated>2025-10-24T10:15:39Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left diff-editfont-monospace&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 10:15, 24 October 2025&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l8&quot; &gt;Line 8:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 8:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://www.sciencedirect.com/science/article/pii/S1532046423001247&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://www.sciencedirect.com/science/article/pii/S1532046423001247&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://arxiv.org/abs/2402.12608&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://arxiv.org/abs/2402.12608&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
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&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|Level=Master&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|Level=Master&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|Status=Open&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|Status=Open&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Islab</name></author>
	</entry>
	<entry>
		<id>https://mw.hh.se/caisr/index.php?title=Knowledge_graphs_4_XAI_in_Healthcare&amp;diff=5612&amp;oldid=prev</id>
		<title>Islab: Created page with &quot;{{StudentProjectTemplate |Summary=Knowledge graphs in Healthcare |Keywords=Knowledge graphs, XAI, Healthcare |TimeFrame=Spring 2026 |References=https://www.sciencedirect.com/s...&quot;</title>
		<link rel="alternate" type="text/html" href="https://mw.hh.se/caisr/index.php?title=Knowledge_graphs_4_XAI_in_Healthcare&amp;diff=5612&amp;oldid=prev"/>
		<updated>2025-10-22T22:42:07Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{StudentProjectTemplate |Summary=Knowledge graphs in Healthcare |Keywords=Knowledge graphs, XAI, Healthcare |TimeFrame=Spring 2026 |References=https://www.sciencedirect.com/s...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{StudentProjectTemplate&lt;br /&gt;
|Summary=Knowledge graphs in Healthcare&lt;br /&gt;
|Keywords=Knowledge graphs, XAI, Healthcare&lt;br /&gt;
|TimeFrame=Spring 2026&lt;br /&gt;
|References=https://www.sciencedirect.com/science/article/pii/S1566253523001148&lt;br /&gt;
https://www.sciencedirect.com/science/article/abs/pii/S1532046425000905&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S0004370221001788&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S1532046423001247&lt;br /&gt;
https://arxiv.org/abs/2402.12608&lt;br /&gt;
|Supervisor=Grzegorz J. Nalepa, Farzaneh Etminani&lt;br /&gt;
|Level=Master&lt;br /&gt;
|Status=Open&lt;br /&gt;
}}&lt;br /&gt;
Knowledge graphs (KG) are a knowledge representation method that has became increasingly important in the context of the explainable AI approach.&lt;br /&gt;
Healthcare (HC) systems are a very special area of application of AI due to data sensitivity andf privacy concerns.&lt;br /&gt;
In this thesis we would like to conduct a survey on a recent practical applications of KG i HC for knowledge representation and management.&lt;br /&gt;
Furthermore, we would like to explore the role of KG in interoperability and FAIRness of HC data.&lt;br /&gt;
Moreover, we would like to consider KG for supporting XAI for HC, specifically what explanation forms are mostly suitable for HC experts and how they can be supported by background knowledge&lt;br /&gt;
Finally, we want to explore knowledge augmented retrieval with KG for HC data and knowledge bases where explanations can meet medical data.&lt;br /&gt;
&lt;br /&gt;
It is encouraged that this thesis will result in scientific publications possibly also developed in collaboration with external stakeholders.&lt;/div&gt;</summary>
		<author><name>Islab</name></author>
	</entry>
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