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
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 2024-04-02 |
CQF Library: Research Variables FLUTE
url: EvidenceVariable Study variable: Digital rectal examination results
identifier: https://flute.com/EvidenceVariable/DRE
version: 0.1.0
name: DRE
title: Study variable: Digital rectal examination results
status: Draft
date: 2024-04-02 12:00:00+0000
publisher: HL7 Europe
contact: HL7 Europe: https://www.hl7.eu
description:
Study variable regarding the digital rectal examination results of the patient for a prostatic cancer.
relatedArtifact
type: Derived From
label: data source
citation:
The Barcelona Predictive Model of Clinically Significant Prostate Cancer: Contributors: Morote, J.; Borque-Fernando, A.; Triquell, M.; Celma, A.; Regis, L.; Escobar, M.; Mast, R.; de Torres, I.M.; Semidey, M.E.; Abascal, J.M.; Sola, C.; Servian, P.; Salvador, D.; Santamaría, A.; Planas, J.; Esteban, L.M.; Trilla, E. In: Cancers, PMID 35326740. Published March 21, 2022. Available at: https://pubmed.ncbi.nlm.nih.gov/35326740/.
Documents
Url https://www.mdpi.com/2072-6694/14/6/1589
characteristic
description:
The results of DRE (normal or suspicious)
DefinitionExpressions
Description Language Expression The expression to retrieve the result of DRE from observation interpretation text/cql-identifier dre