Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.
Saved in:
| Title: | Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists. |
|---|---|
| Authors: | Sauer CM; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA., Dam TA; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Celi LA; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA.; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland.; Big Data Department, Fundacion Progreso y Salud, Regional Ministry of Health of Andalucia, Sevilla, Spain.; Connected Care and Personal Health, Philips Research North America, Cambridge, MA.; University Library, Vrije Universiteit, Amsterdam, The Netherlands., Faltys M; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland., de la Hoz MAA; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA.; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA.; Big Data Department, Fundacion Progreso y Salud, Regional Ministry of Health of Andalucia, Sevilla, Spain., Adhikari L; Connected Care and Personal Health, Philips Research North America, Cambridge, MA., Ziesemer KA; University Library, Vrije Universiteit, Amsterdam, The Netherlands., Girbes A; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Thoral PJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands., Elbers P; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands. |
| Source: | Critical care medicine [Crit Care Med] 2022 Jun 01; Vol. 50 (6), pp. e581-e588. Date of Electronic Publication: 2022 Mar 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0355501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0293 (Electronic) Linking ISSN: 00903493 NLM ISO Abbreviation: Crit Care Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
