Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions
| Draft as of 2023-10-25 |
<Requirements xmlns="http://hl7.org/fhir">
<id value="F-PIL-26"/>
<text>
<status value="extensions"/>
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<p style="padding-bottom: 0px; margin: 0px;">
<b>ID</b>: F-PIL-26
</p>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Publisher</b>: HL7 Europe
</p>
<table style="width: 100%;" class="grid">
<tr style="background-color: #333f4c; color: #ffffff;">
<th style="text-align: center;"><b>Contact Name</b></th>
<th style="text-align: center;"><b>Contact Points</b></th>
</tr>
<tr style="background-color: #ffffff;">
<td> HL7 Europe </td>
<td>
<ul>
<li>
<a href="https://www.hl7.eu">https://www.hl7.eu</a>
</li>
</ul>
</td>
</tr>
</table>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Description</b>:
</p>
<div><p>The platform SHALL be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data.</p>
</div>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Purpose</b>:
</p>
<div><p>FLUTE specific requirements for FLUTE pilot studies and the platform are outlined based on discussions with stakeholders participating in the case studies, in particular representatives of technical partners participating in WP5 (Quibim) and medical researchers from the three participating hospitals CHUL, IRST and VHIR, which also act as data owners.</p>
</div>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Copyright Label</b>: Federated Learning and mUlti-party computation Techniques for prostatE cancer
</p>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Actor for these requirements</b>:
<code><a href="ActorDefinition-AD-FLUTEPlatform.html">FLUTE Platform</a></code>
</p>
</div><br/>
<div style="display: inline-block;
padding: 6px;
margin: 4px;
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<p style="padding-bottom: 0px; margin: 0px;">
<b>Statements</b>:
</p>
<blockquote>
<p style="padding-bottom: 0px; margin: 0px;"><b>ID</b>: F-PIL-26</p>
<p style="padding-bottom: 0px; margin: 0px;">
<b>Label</b>: As a FLUTE platform, I SHALL be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data.
</p>
<p style="padding-bottom: 0px; margin: 0px;"><b>Sources</b>:</p>
<ul>
<li>
HL7 Europe
</li>
</ul>
<table style="width: 100%;">
<tr style="background-color: #333f4c; color: #ffffff;">
<th><b>Conformance</b></th>
<th><b>Requirement</b></th>
</tr>
<tr style="background-color: #ffffff;">
<td>
<code>SHALL</code>
</td>
<td><div><p>be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data</p>
</div></td>
</tr>
</table>
</blockquote>
</div>
</div>
</text>
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<name value="F_PIL_26"/>
<title value="F-PIL-26"/>
<status value="draft"/>
<date value="2023-10-25T10:31:30.239Z"/>
<publisher value="HL7 Europe"/>
<contact>
<name value="HL7 Europe"/>
<telecom>
<system value="url"/>
<value value="https://www.hl7.eu"/>
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<description
value="The platform SHALL be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data."/>
<purpose
value="FLUTE specific requirements for FLUTE pilot studies and the platform are outlined based on discussions with stakeholders participating in the case studies, in particular representatives of technical partners participating in WP5 (Quibim) and medical researchers from the three participating hospitals CHUL, IRST and VHIR, which also act as data owners."/>
<copyright value="HL7 Europe"/>
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<actor value="https://flute.com/ActorDefinition/AD-FLUTEPlatform"/>
<statement>
<key value="F-PIL-26"/>
<label
value="As a FLUTE platform, I SHALL be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data."/>
<conformance value="SHALL"/>
<requirement
value="be able to train BCN1 and BCN2 models from an augmented/balanced datasets thanks to synthetic data"/>
<source>
<display value="HL7 Europe"/>
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</statement>
</Requirements>