Project deliverable Open Access

SIMCor. Deliverable 4.2: Standard operating procedures for data processing for in-silico models (CHA, M12)

Bruning, Jan; Krüger, Nina; Goubergrits, Leonid; Lesage, Raphaëlle; Huberts, Wouter; Schievano, Silvia

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Bruning, Jan</dc:creator>
  <dc:creator>Krüger, Nina</dc:creator>
  <dc:creator>Goubergrits, Leonid</dc:creator>
  <dc:creator>Lesage, Raphaëlle</dc:creator>
  <dc:creator>Huberts, Wouter</dc:creator>
  <dc:creator>Schievano, Silvia</dc:creator>
  <dc:description>This document was developed to provide a standard operating procedure (SOP) on clinical data processing for creating virtual cohorts for in-silico models. The SOP is designed for SIMCor partners as well as for the scientific community. Hence, it formulates procedures and workflows for the processing of clinical data (in particular, imaging data) in the view of generating virtual cohorts. Given the heterogeneity of data, general recommendations are provided, rather than precise steps, with specific illustrations based on the SIMCor use case: transcatheter aortic valve implantation (TAVI). Standards and guidelines for data quality, data formats and data exchange were applied, when they existed. Confronting the current workflow with the evolving practice as the project continues may lead to updates, thus subsequent iterations are foreseen.</dc:description>
  <dc:description>SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.</dc:description>
  <dc:relation>info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Research and Innovation action/101017578/</dc:relation>
  <dc:title>SIMCor. Deliverable 4.2: Standard operating procedures for data processing for in-silico models (CHA, M12)</dc:title>
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