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1 Ergebnisse
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Application of an Exploratory Knowledge-Discovery Pipeline ..:
Bollen Pinto, Bernardo
;
Ribas Ripoll, Vicent
;
Subías-Beltrán, Paula
...
info:eu-repo/semantics/altIdentifier/doi/10.3390/jcm10194354. , 2021
Link:
https://archive-ouverte.unige.ch/unige:158356
RT Journal T1
Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study
UL https://suche.suub.uni-bremen.de/peid=base-ftunivgeneve:oai:unige.ch:aou:unige:158356&Exemplar=1&LAN=DE A1 Bollen Pinto, Bernardo A1 Ribas Ripoll, Vicent A1 Subías-Beltrán, Paula A1 Herpain, Antoine A1 Barlassina, Cristina A1 Oliveira, Eliandre A1 Pastorelli, Roberta A1 Braga, Daniele A1 Barcella, Matteo A1 Subirats, Laia A1 Bauzá-Martinez, Julia A1 Odena, Antonia A1 Ferrario, Manuela A1 Baselli, Giuseppe A1 Aletti, Federico A1 Bendjelid, Karim A1 Shockomics Consortium YR 2021 K1 info:eu-repo/classification/ddc/617 K1 Feature selection K1 Machine learning K1 Myocardial injury K1 Septic cardiomyopathy K1 Septic shock JF info:eu-repo/semantics/altIdentifier/doi/10.3390/jcm10194354 LK http://dx.doi.org/https://archive-ouverte.unige.ch/unige:158356 DO https://archive-ouverte.unige.ch/unige:158356 SF ELIB - SuUB Bremen
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