Big data and machine learning in critical care: Opportunities for collaborative research

Author:

Núñez Reiz Antonio,Martínez Sagasti Fernando,Álvarez González Manuel,Blesa Malpica Antonio,Martín Benítez Juan Carlos,Nieto Cabrera Mercedes,del Pino Ramírez Ángela,Gil Perdomo José Miguel,Prada Alonso Jesús,Celi Leo Anthony,Armengol de la Hoz Miguel Ángel,Deliberato Rodrigo,Paik Kenneth,Pollard Tom,Raffa Jesse,Torres Felipe,Mayol Julio,Chafer Joan,González Ferrer Arturo,Rey Ángel,González Luengo Henar,Fico Giuseppe,Lombroni Ivana,Hernandez Liss,López Laura,Merino Beatriz,Cabrera María Fernanda,Arredondo María Teresa,Bodí María,Gómez Josep,Rodríguez Alejandro,Sánchez García Miguel

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine

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4. Takaki J, Petersen T, Ericson G. Boosted Decision Tree Regression 2018 [23/2/2018]. Available from: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/boosted-decision-tree-regression.

5. Gu S, Wu Q. How Random Forest Algorithm Works in Machine Learning 2017. Available from: https://medium.com/@Synced/how-random-forest-algorithm-works-in-machine-learning-3c0fe15b6674 [cited 2018].

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