SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.

Détails

ID Serval
serval:BIB_DBFE87C40559
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.
Périodique
Studies in health technology and informatics
Auteur(s)
Egli A., Battegay M., Büchler A.C., Bühlmann P., Calandra T., Eckert P., Furrer H., Greub G., Jakob S.M., Kaiser L., Leib S.L., Marsch S., Meinshausen N., Pagani J.L., Pugin J., Rätsch G., Schrenzel J., Schüpbach R., Siegemund M., Zamboni N., Zbinden R., Zinkernagel A., Borgwardt K.
ISSN
1879-8365 (Electronic)
ISSN-L
0926-9630
Statut éditorial
Publié
Date de publication
16/06/2020
Peer-reviewed
Oui
Volume
270
Pages
1163-1167
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Sepsis is a highly heterogenous syndrome with variable causes and outcomes. As part of the SPHN/PHRT funding program, we aim to build a highly interoperable, interconnected network for data collection, exchange and analysis of patients on intensive care units in order to predict sepsis onset and mortality earlier. All five University Hospitals, Universities, the Swiss Institute of Bioinformatics and ETH Zurich are involved in this multi-disciplinary project. With two prospective clinical observational studies, we test our infrastructure setup and improve the framework gradually and generate relevant data for research.
Mots-clé
-omics biomarkers, SPHN, big data, data exchange, diagnostics, digital biomarker, interconnected, interoperability, machine learning, personalized health, sepsis
Pubmed
Web of science
Création de la notice
03/07/2020 18:33
Dernière modification de la notice
01/05/2021 5:32
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