PUESTA AL DÍA EN MEDICINA INTENSIVA: ACTUALIZACIÓN EN METODOLOGÍA EN MEDICINA INTENSIVA
Big data and machine learning in critical care: Opportunities for collaborative research
Big data y machine learning en medicina intensiva: oportunidades del trabajo colaborativo
Organizing Committee of the Madrid 2017 Critical Care Datathon ◊, Antonio Núñez Reiza,
, Fernando Martínez Sagastia, Manuel Álvarez Gonzáleza, Antonio Blesa Malpicaa, Juan Carlos Martín Beníteza, Mercedes Nieto Cabreraa, Ángela del Pino Ramíreza, José Miguel Gil Perdomoa, Jesús Prada Alonsoa, Leo Anthony Celib, Miguel Ángel Armengol de la Hozb,c,d,e, Rodrigo Deliberatob, Kenneth Paikb, Tom Pollardb, Jesse Raffab, Felipe Torresb, Julio Mayolf, Joan Chaferg, Arturo González Ferrerg..., Ángel Reyg, Henar González Luengog, Giuseppe Ficoh, Ivana Lombronih, Liss Hernandezh, Laura Lópezh, Beatriz Merinoh, María Fernanda Cabrerah, María Teresa Arredondoh, María Bodíi, Josep Gómezi,j, Alejandro Rodríguezi, Miguel Sánchez Garcíaa,
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Corresponding author
Corresponding author
a Servicio de Medicina Intensiva, Hospital Universitario Clínico San Carlos, Madrid, España
b MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, Massachusetts, United States
c Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
d Harvard Medical School, Boston, Massachusetts, United States
e Biomedical Engineering and Telemedicine Group, Biomedical Technology Centre CTB, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
f Department of Surgery, Hospital Clinico San Carlos de Madrid, Instituto de Investigación Sanitaria San Carlos, Universidad Complutense de Madrid, Madrid, Spain
g Unidad de Innovación, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
h Life Supporting Technologies, epartamento de Tecnología Fotónica y Bioingeniería, Universidad Politècnica de Madrid, Madrid, Spain
i Service of Intensive Care Medicine, Hospital Universitari Joan XXIII, IISPV-URV, Tarragona, Spain
j Department of Electronic Engineering, Metabolomics Platform, Rovira i Virgili University, IISPV, Tarragona
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