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

Organizing Committee of the Madrid 2017 Critical Care Datathon, Núñez Reiz A, Martínez Sagasti F, Álvarez González M, Blesa Malpica A, Martín Benítez JC, Nieto Cabrera M, Del Pino Ramírez Á, Gil Perdomo JM, Prada Alonso J, Celi LA, Armengol de la Hoz MÁ, Deliberato R, Paik K, Pollard T, Raffa J, Torres F, Mayol J, Chafer J, González Ferrer A, Rey Á, González Luengo H, Fico G, Lombroni I, Hernandez L, López L, Merino B, Cabrera MF, Arredondo MT, Bodí M, Gómez J, Rodríguez A, Sánchez García M

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DOI: 10.1016/j.medin.2018.06.002
Published: 2019 Jan-Feb
Container: Medicina intensiva
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.medin.2018.06.002,
  title = {Big data and machine learning in critical care: Opportunities for collaborative research.},
  author = {Organizing Committee of the Madrid 2017 Critical Care Datathon and Núñez Reiz A and Martínez Sagasti F and Álvarez González M and Blesa Malpica A and Martín Benítez JC and Nieto Cabrera M and Del Pino Ramírez Á and Gil Perdomo JM and Prada Alonso J and Celi LA and Armengol de la Hoz MÁ and Deliberato R and Paik K and Pollard T and Raffa J and Torres F and Mayol J and Chafer J and González Ferrer A and Rey Á and González Luengo H and Fico G and Lombroni I and Hernandez L and López L and Merino B and Cabrera MF and Arredondo MT and Bodí M and Gómez J and Rodríguez A and Sánchez García M},
  year = {2019},
  journal = {Medicina intensiva},
  doi = {10.1016/j.medin.2018.06.002},
  url = {https://doi.org/10.1016/j.medin.2018.06.002}
}

RIS

TY  - JOUR
TI  - Big data and machine learning in critical care: Opportunities for collaborative research.
AU  - Organizing Committee of the Madrid 2017 Critical Care Datathon
AU  - Núñez Reiz A
AU  - Martínez Sagasti F
AU  - Álvarez González M
AU  - Blesa Malpica A
AU  - Martín Benítez JC
AU  - Nieto Cabrera M
AU  - Del Pino Ramírez Á
AU  - Gil Perdomo JM
AU  - Prada Alonso J
AU  - Celi LA
AU  - Armengol de la Hoz MÁ
AU  - Deliberato R
AU  - Paik K
AU  - Pollard T
AU  - Raffa J
AU  - Torres F
AU  - Mayol J
AU  - Chafer J
AU  - González Ferrer A
AU  - Rey Á
AU  - González Luengo H
AU  - Fico G
AU  - Lombroni I
AU  - Hernandez L
AU  - López L
AU  - Merino B
AU  - Cabrera MF
AU  - Arredondo MT
AU  - Bodí M
AU  - Gómez J
AU  - Rodríguez A
AU  - Sánchez García M
PY  - 2019
JO  - Medicina intensiva
DO  - 10.1016/j.medin.2018.06.002
UR  - https://doi.org/10.1016/j.medin.2018.06.002
ER  -

APA

Datathon, O. C. O. T. M. 2. C. C., A, N. R., F, M. S., M, Á. G., A, B. M., JC, M. B., M, N. C., Á, D. P. R., JM, G. P., J, P. A., LA, C., MÁ, A. D. L. H., R, D., K, P., T, P., J, R., F, T., J, M., J, C., A, G. F., Á, R., H, G. L., G, F., I, L., L, H., L, L., B, M., MF, C., MT, A., M, B., J, G., A, R., & M, S. G. (2019). Big data and machine learning in critical care: Opportunities for collaborative research.. Medicina intensiva. https://doi.org/10.1016/j.medin.2018.06.002

Source records

pubmed · retrieved 2026-09-26T19:13:42.801Z