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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

Bernardo Bollen Pinto,Vicent Ribas Ripoll,Paula Subias-Beltran,Antoine Herpain,Cristina Barlassina,Eliandre Oliveira,Roberta Pastorelli,Daniele Braga,Matteo Barcella,Laia Subirats,Julia Bauza-Martinez,Antonia Odena,Manuela Ferrario,Giuseppe Baselli,Federico Aletti,Karim Bendjelid

JOURNAL OF CLINICAL MEDICINE（2021）

Cited 4|Views45
Key words
machine learning,feature selection,septic cardiomyopathy,myocardial injury,septic shock
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