Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management (2022)
- Authors:
- Levin, Anna Sara
- Freire, Maristela P
- Oliveira, Maura Salaroli de
- Nastri, Ana Catharina de Seixas Santos
- Harima, Leila
- Perdigão Neto, Lauro Vieira
- Magri, Marcello M
- Fialkovitz, Gabriel
- Figueiredo, Pedro H. M. F
- Siciliano, Rinaldo Focaccia
- Sabino, Ester Cerdeira
- Carlotti, Danilo Panzeri
- Rodrigues, Davi Silva
- Nunes, Fátima L S
- Ferreira, João Eduardo
- Levin, Anna Sara
- USP affiliated authors: LEVIN, ANNA SARA SHAFFERMAN - FM ; OLIVEIRA, MAURA SALAROLI DE - FM ; PERDIGÃO NETO, LAURO VIEIRA - FM ; MAGRI, MARCELLO MIHAILENKO CHAVES - FM ; SICILIANO, RINALDO FOCACCIA - FM ; SABINO, ESTER CERDEIRA - FM ; FERREIRA, JOÃO EDUARDO - IME ; FREIRE, MARISTELA PINHEIRO - FM ; CARLOTTI, DANILO PANZERI - IME
- Unidades: FM; IME
- DOI: 10.1186/s12911-022-01983-7
- Subjects: COVID-19; HOSPITALIZAÇÃO; PROGNÓSTICO; INTELIGÊNCIA ARTIFICIAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: BMC Medical Informatics and Decision Making
- ISSN: 1472-6947
- Volume/Número/Paginação/Ano: v. 22, n. 1, art. 246, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LEVIN, Anna Sara et al. Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management. BMC Medical Informatics and Decision Making, v. 22, n. 1, 2022Tradução . . Disponível em: https://doi.org/10.1186/s12911-022-01983-7. Acesso em: 13 fev. 2026. -
APA
Levin, A. S., Freire, M. P., Oliveira, M. S. de, Nastri, A. C. de S. S., Harima, L., Perdigão Neto, L. V., et al. (2022). Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management. BMC Medical Informatics and Decision Making, 22( 1). doi:10.1186/s12911-022-01983-7 -
NLM
Levin AS, Freire MP, Oliveira MS de, Nastri AC de SS, Harima L, Perdigão Neto LV, Magri MM, Fialkovitz G, Figueiredo PHMF, Siciliano RF, Sabino EC, Carlotti DP, Rodrigues DS, Nunes FLS, Ferreira JE. Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( 1):[citado 2026 fev. 13 ] Available from: https://doi.org/10.1186/s12911-022-01983-7 -
Vancouver
Levin AS, Freire MP, Oliveira MS de, Nastri AC de SS, Harima L, Perdigão Neto LV, Magri MM, Fialkovitz G, Figueiredo PHMF, Siciliano RF, Sabino EC, Carlotti DP, Rodrigues DS, Nunes FLS, Ferreira JE. Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( 1):[citado 2026 fev. 13 ] Available from: https://doi.org/10.1186/s12911-022-01983-7 - Brazilian perspective: antimicrobial stewardship in solid organ transplant
- Impact of COVID-19 on healthcare-associated infections: antimicrobial consumption does not follow antimicrobial resistance
- Sumariação de textos como ferramenta de pesquisa empírica em direito
- Demographic, risk factors and motivations among blood donors with reactive serologic tests for syphilis in São Paulo, Brazil
- Prevalence of serologic markers for hepatitis B and C viruses in Brazilian blood donors and incidence and residual risk of transfusion transmission of hepatitis C virus
- Analysis of donor deferral at three blood centers in Brazil
- Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database
- Aplicando procedência de dados para análise dos perfis de doadores de sangue
- Prevalence of Treponema pallidum DNA among blood donors with two different serologic tests profiles for syphilis in São Paulo, Brazil
- Contribution of the Retrovirus Epidemiology Donor Study (REDS) to research on blood transfusion safety in Brazil
Informações sobre o DOI: 10.1186/s12911-022-01983-7 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3124195.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
