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Artigo de periodico
Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge (2025)
Maita, Ana Rocío Cárdenas ; Oikawa, Márcio Katsumi ; Oliveira, Vitor Falcão de ; Prado, Viviane de Oliveira ; Pereira, Robson; Xavier, Gabriela Tonon de Oliveira ; Matos, Maria Laura Mariano de ; Manuli, Erika Regina ; Salvi, Lucia H. A. R.; Conde, Monica Tilli Reis Pessoa ; Padoveze, Maria Clara ; Razzolini, Maria Tereza Pepe ; Scaccia, Nazareno ; Oliveira, Maura Salaroli de ; Boszczowski, Ícaro ; Sequeira, Cibele Cristine Remondes ; Graspan, Regina Maura Zetone; Leal, Fábio Eudes ; Sabino, Ester Cerdeira ; Holmes, Alison ; Costa, Sílvia Figueiredo ; Levin, Anna Sara ; Marques, Fátima de Lourdes dos Santos Nunes
Source: BMC Medical Informatics and Decision Making. Unidades: FSP, IQ, FM, EACH, RUSP
Assunto: REGISTROS MÉDICOS
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ABNT
MAITA, Ana Rocío Cárdenas et al. Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge. BMC Medical Informatics and Decision Making, p. 421-432, 2025Tradução . . Disponível em: http://dx.doi.org/10.1186/s12911-025-03260-9. Acesso em: 22 abr. 2026.
APA
Maita, A. R. C., Oikawa, M. K., Oliveira, V. F. de, Prado, V. de O., Pereira, R., Xavier, G. T. de O., et al. (2025). Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge. BMC Medical Informatics and Decision Making, 421-432. doi:10.1186/s12911-025-03260-9
NLM
Maita ARC, Oikawa MK, Oliveira VF de, Prado V de O, Pereira R, Xavier GT de O, Matos MLM de, Manuli ER, Salvi LHAR, Conde MTRP, Padoveze MC, Razzolini MTP, Scaccia N, Oliveira MS de, Boszczowski Í, Sequeira CCR, Graspan RMZ, Leal FE, Sabino EC, Holmes A, Costa SF, Levin AS, Marques F de L dos SN. Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge [Internet]. BMC Medical Informatics and Decision Making. 2025 ; 421-432.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1186/s12911-025-03260-9
Vancouver
Maita ARC, Oikawa MK, Oliveira VF de, Prado V de O, Pereira R, Xavier GT de O, Matos MLM de, Manuli ER, Salvi LHAR, Conde MTRP, Padoveze MC, Razzolini MTP, Scaccia N, Oliveira MS de, Boszczowski Í, Sequeira CCR, Graspan RMZ, Leal FE, Sabino EC, Holmes A, Costa SF, Levin AS, Marques F de L dos SN. Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge [Internet]. BMC Medical Informatics and Decision Making. 2025 ; 421-432.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1186/s12911-025-03260-9
Artigo de periodico
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal (2023)
Franco, Felipe de Oliveira ; Oliveira, Jessica Sales; Portolese, Joana ; Sumiya, Fernando Mitsuo ; Silva, Andréia F.; Lima, Ariane Machado ; Marques, Fátima de Lourdes dos Santos Nunes ; Brentani, Helena Paula
Source: BMC Medical Informatics and Decision Making. Unidades: EACH, FM, Interunidades em Bioinformática
Assunto: TRANSTORNO DO ESPECTRO AUTISTA
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ABNT
FRANCO, Felipe de Oliveira et al. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC Medical Informatics and Decision Making, v. 23, n. 285, p. 01-09, 2023Tradução . . Disponível em: http://dx.doi.org/10.1186/s12911-023-02389-9. Acesso em: 22 abr. 2026.
APA
Franco, F. de O., Oliveira, J. S., Portolese, J., Sumiya, F. M., Silva, A. F., Lima, A. M., et al. (2023). Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC Medical Informatics and Decision Making, 23( 285), 01-09. doi:10.1186/s12911-023-02389-9
NLM
Franco F de O, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Lima AM, Marques F de L dos SN, Brentani HP. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal [Internet]. BMC Medical Informatics and Decision Making. 2023 ; 23( 285): 01-09.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1186/s12911-023-02389-9
Vancouver
Franco F de O, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Lima AM, Marques F de L dos SN, Brentani HP. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal [Internet]. BMC Medical Informatics and Decision Making. 2023 ; 23( 285): 01-09.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1186/s12911-023-02389-9
Artigo de periodico
Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management (2022)
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 ; Marques, Fátima de Lourdes dos Santos Nunes ; Ferreira, João Eduardo
Source: BMC Medical Informatics and Decision Making. Unidades: FM, IME
Subjects: COVID-19, HOSPITALIZAÇÃO, PROGNÓSTICO, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 22 abr. 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, Marques F de L dos SN, 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 abr. 22 ] 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, Marques F de L dos SN, 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 abr. 22 ] Available from: https://doi.org/10.1186/s12911-022-01983-7
Artigo de periodico
Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records (2022)
Rodrigues, Davi Silva ; Nastri, Ana Catharina de Seixas Santos ; Magri, Marcello M.; Oliveira, Maura Salaroli de ; Sabino, Ester Cerdeira ; Figueiredo, Pedro H. M. F.; Levin, Anna Sara ; Freire, Maristela Pinheiro ; Harima, Leila Suemi; Marques, Fátima de Lourdes dos Santos Nunes ; Ferreira, João Eduardo ; Busatto, Geraldo ; Bonfa, Eloisa Silva Dutra de Oliveira ; Utiyama, Edivaldo Massazo ; Segurado, Aluisio Augusto Cotrim ; Perondi, Beatriz ; Morais, Anna Miethke ; Montal, Amanda ; Fusco, Solange ; Fregonesi, Marjorie; Rocha, Marcelo; Marcílio, Izabel ; Rios, Izabel C; Kawano, Fabiane Y. O.; de Jesus, M. Amelia; Kallas, Esper Georges ; Marmo, Carolina; Tanaka, Clarice ; Souza, Heraldo Possolo de ; Marchini, Julio Flávio Meirelles ; Carvalho, Carlos; Ferreira, Juliana C.; Guimarães, Thais ; Lazari, Carolina S.; Duarte, Alberto José da Silva; Francisco, M. Cristina P. B.; Costa, Sílvia Figueiredo
Source: BMC Medical Informatics and Decision Making. Unidades: FM, EACH, IME, FMRP
Subjects: COVID-19, SINAIS VITAIS, ANÁLISE DE SÉRIES TEMPORAIS, COMPUTAÇÃO APLICADA
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ABNT
RODRIGUES, Davi Silva et al. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC Medical Informatics and Decision Making, v. 22, n. artigo 187, 2022Tradução . . Disponível em: https://doi.org/10.1186/s12911-022-01931-5. Acesso em: 22 abr. 2026.
APA
Rodrigues, D. S., Nastri, A. C. de S. S., Magri, M. M., Oliveira, M. S. de, Sabino, E. C., Figueiredo, P. H. M. F., et al. (2022). Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC Medical Informatics and Decision Making, 22( artigo 187). doi:10.1186/s12911-022-01931-5
NLM
Rodrigues DS, Nastri AC de SS, Magri MM, Oliveira MS de, Sabino EC, Figueiredo PHMF, Levin AS, Freire MP, Harima LS, Marques F de L dos SN, Ferreira JE, Busatto G, Bonfa ESD de O, Utiyama EM, Segurado AAC, Perondi B, Morais AM, Montal A, Fusco S, Fregonesi M, Rocha M, Marcílio I, Rios IC, Kawano FYO, de Jesus MA, Kallas EG, Marmo C, Tanaka C, Souza HP de, Marchini JFM, Carvalho C, Ferreira JC, Guimarães T, Lazari CS, Duarte AJ da S, Francisco MCPB, Costa SF. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( artigo 187):[citado 2026 abr. 22 ] Available from: https://doi.org/10.1186/s12911-022-01931-5
Vancouver
Rodrigues DS, Nastri AC de SS, Magri MM, Oliveira MS de, Sabino EC, Figueiredo PHMF, Levin AS, Freire MP, Harima LS, Marques F de L dos SN, Ferreira JE, Busatto G, Bonfa ESD de O, Utiyama EM, Segurado AAC, Perondi B, Morais AM, Montal A, Fusco S, Fregonesi M, Rocha M, Marcílio I, Rios IC, Kawano FYO, de Jesus MA, Kallas EG, Marmo C, Tanaka C, Souza HP de, Marchini JFM, Carvalho C, Ferreira JC, Guimarães T, Lazari CS, Duarte AJ da S, Francisco MCPB, Costa SF. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records [Internet]. BMC Medical Informatics and Decision Making. 2022 ; 22( artigo 187):[citado 2026 abr. 22 ] Available from: https://doi.org/10.1186/s12911-022-01931-5
Artigo de periodico
Decision theory applied to image quality control in radiology (2008)
Lessa, Patrícia S.; Caous, Cristofer A.; Arantes, Paula R.; Amaro Jr., Edson; Souza, Fernando M. Campello de
Source: BMC Medical Informatics and Decision Making. Unidade: FM
Subjects: RADIOLOGIA (CONTROLE DE QUALIDADE), DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LESSA, Patrícia S. et al. Decision theory applied to image quality control in radiology. BMC Medical Informatics and Decision Making, v. 8, n. 51, 2008Tradução . . Disponível em: https://doi.org/10.1186/1472-6947-8-51. Acesso em: 22 abr. 2026.
APA
Lessa, P. S., Caous, C. A., Arantes, P. R., Amaro Jr., E., & Souza, F. M. C. de. (2008). Decision theory applied to image quality control in radiology. BMC Medical Informatics and Decision Making, 8( 51). doi:10.1186/1472-6947-8-51
NLM
Lessa PS, Caous CA, Arantes PR, Amaro Jr. E, Souza FMC de. Decision theory applied to image quality control in radiology [Internet]. BMC Medical Informatics and Decision Making. 2008 ; 8( 51):[citado 2026 abr. 22 ] Available from: https://doi.org/10.1186/1472-6947-8-51
Vancouver
Lessa PS, Caous CA, Arantes PR, Amaro Jr. E, Souza FMC de. Decision theory applied to image quality control in radiology [Internet]. BMC Medical Informatics and Decision Making. 2008 ; 8( 51):[citado 2026 abr. 22 ] Available from: https://doi.org/10.1186/1472-6947-8-51

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