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Page 1
Prediction of intensive care units length of stay: a concise review.
Rev Bras Ter Intensiva. 2021 Apr-Jun;33(2):183-187. doi: 10.5935/0103-507X.20210025.
Rev Bras Ter Intensiva. 2021.
PMID: 34231798
Free PMC article.
Review.
No abstract available.
Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units.
Peres IT, Hamacher S, Cyrino Oliveira FL, Bozza FA, Salluh JIF.
Peres IT, et al. Among authors: cyrino oliveira fl.
Anaesth Crit Care Pain Med. 2022 Dec;41(6):101142. doi: 10.1016/j.accpm.2022.101142. Epub 2022 Aug 18.
Anaesth Crit Care Pain Med. 2022.
PMID: 35988701
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What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis.
Peres IT, Hamacher S, Oliveira FLC, Thomé AMT, Bozza FA.
Peres IT, et al. Among authors: oliveira flc.
J Crit Care. 2020 Dec;60:183-194. doi: 10.1016/j.jcrc.2020.08.003. Epub 2020 Aug 7.
J Crit Care. 2020.
PMID: 32841815
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Simulation of Appointment Scheduling Policies: a Study in a Bariatric Clinic.
Peres IT, Hamacher S, Cyrino Oliveira FL, Barbosa SDJ, Viegas F.
Peres IT, et al. Among authors: cyrino oliveira fl.
Obes Surg. 2019 Sep;29(9):2824-2830. doi: 10.1007/s11695-019-03898-1.
Obes Surg. 2019.
PMID: 31037596
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Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil.
Queiroz ERC, Alves KSTR, Cyrino Oliveira FL, Pestana de Aguiar E.
Queiroz ERC, et al. Among authors: cyrino oliveira fl.
Evol Syst (Berl). 2022;13(2):297-306. doi: 10.1007/s12530-021-09388-z. Epub 2021 May 25.
Evol Syst (Berl). 2022.
PMID: 38624835
Free PMC article.
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