Literature DB >> 33902779

Estimating lengths-of-stay of hospitalized COVID-19 patients using a non-parametric model: a case study in Galicia (Spain).

Ana López-Cheda1, María-Amalia Jácome1, Ricardo Cao2, Pablo M De Salazar3.   

Abstract

Entities:  

Year:  2021        PMID: 33902779     DOI: 10.1017/S0950268821000959

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


× No keyword cloud information.
  3 in total

Review 1.  Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning-A Scoping Review.

Authors:  Costase Ndayishimiye; Christoph Sowada; Patrycja Dyjach; Agnieszka Stasiak; John Middleton; Henrique Lopes; Katarzyna Dubas-Jakóbczyk
Journal:  Int J Environ Res Public Health       Date:  2022-07-04       Impact factor: 4.614

2.  Clinical characteristics and outcomes of hospitalized patients with COVID-19 in a Brazilian hospital: a retrospective study of the first and second waves.

Authors:  Ricardo S Santos; Danilo S Barros; Thiago M P Moraes; Cintya Y Hayashi; Renata B Ralio; Fernanda F Minenelli; Kees van Zon; João P S Ripardo
Journal:  IJID Reg       Date:  2022-04-14

3.  Machine learning model for predicting the length of stay in the intensive care unit for Covid-19 patients in the eastern province of Saudi Arabia.

Authors:  Dina A Alabbad; Abdullah M Almuhaideb; Shikah J Alsunaidi; Kawther S Alqudaihi; Fatimah A Alamoudi; Maha K Alhobaishi; Naimah A Alaqeel; Mohammed S Alshahrani
Journal:  Inform Med Unlocked       Date:  2022-04-14
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.