Big data techniques for the secondary use of clinical data in the generation of medical knowledge. The MIMIC solution

Borrat, X.; Celi, L.A.; Ferrando, C.

doi:10.1016/j.redare.2019.07.010

Revista Española de Anestesiología y Reanimación (English Edition)

ISSN: 2341-1929

Revista Española de Anestesiología y Reanimación (REDAR) -the Spanish Journal of Anesthesiology and Resuscitation- is the scientific body of the Spanish Society of Anesthesiology, Resuscitation and Pain Therapy. This is a monthly journal (10 issues) that publishes scientific articles of all areas within its specialty: clinical anesthesia, resuscitation-intensive medicine and critical care, diagnosis and treatment of acute and chronic pain, urgent care and emergencies and studies on basic science and related fields. The journal accepts work in both Spanish and English.

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Vol. 66. Issue 10.

Pages 555-558 (December 2019)

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Vol. 66. Issue 10.

Pages 555-558 (December 2019)

Letter to the Director

DOI: 10.1016/j.redare.2019.07.010

Big data techniques for the secondary use of clinical data in the generation of medical knowledge. The MIMIC solution

Técnicas Big data para el uso secundario de datos clínicos para la creación de conocimiento médico. La solución MIMIC

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X. Borrata,

Corresponding author

xborrat@clinic.cat

Corresponding author.

, L.A. Celib,c, C. Ferrandod,e

a Servicio de Anestesiología y Reanimación, Hospital Clínic de Barcelona, Barcelona, Spain

b Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, USA

c Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, USA

d Servicio de Anestesiología y Reanimación, Hospital Clínic, Institut D'investigació August Pi i Sunyer, Barcelona, Spain

e CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain

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Table 1. Examples of secondary use of clinical data.

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