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

Détails

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Etat: Public
Version: Final published version
Licence: CC BY-NC 4.0
ID Serval
serval:BIB_DBFE87C40559
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.
Titre du livre
Digital Personalized Health and Medicine
Auteur⸱e⸱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.
Editeur
IOS Press
ISBN
978-1-64368-082-8
ISSN
1879-8365 (Electronic)
ISSN-L
0926-9630
Statut éditorial
Publié
Date de publication
16/06/2020
Peer-reviewed
Oui
Volume
270
Série
Studies in health technology and informatics
Pages
1163-1167
Langue
anglais
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
05/09/2024 9:13
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