Zobrazeno 1 - 10 of 87 pro vyhledávání: '"J Giacomazzi"'
1
Akademický článek
Automated healthcare-associated infection surveillance using an artificial intelligence algorithm
Autor: R.P. dos Santos, D. Silva, A. Menezes, S. Lukasewicz, C.H. Dalmora, O. Carvalho, J. Giacomazzi, N. Golin, R. Pozza, T.A. Vaz
Publikováno v: Infection Prevention in Practice, Vol 3, Iss 3, Pp 100167- (2021)
Summary: Healthcare-associated infections (HAIs) are among the most common adverse events in hospitals. We used artificial intelligence (AI) algorithms for infection surveillance in a cohort study. The model correctly detected 67 out of 73 patients w
Externí odkaz: https://doaj.org/article/c0c004c5d2b44be2ac2175f7f07e1f6c
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2
The epidemiology of sepsis in paediatric intensive care units in Brazil (the Sepsis PREvalence Assessment Database in Pediatric population, SPREAD PED): an observational study
Autor: Daniela Carla de Souza, Joelma Gonçalves Martin, Vanessa Soares Lanziotti, Cláudio Flauzino de Oliveira, Cristian Tonial, Werther Brunow de Carvalho, José Roberto Fioretto, Jefferson Pedro Piva, Eduardo Juan Troster, Aline Siqueira Bossa, Flávia Gregorini, Josiane Ferreira, Juliana Lubarino, Alexandre Biasi Cavalcanti, Flávia Ribeiro Machado, SC Silva, J Giacomazzi, Domingos A. Boldrini, FH Gilli, LC de Castro, ML de Albuquerque, VCTG Osorio, MLC Elias, AA da Câmara, M Maia, PB de Carvalho, FM Augusto, RCCM de Figueiredo, EL Ikino, FAS Nogueres, RJ de Almeida, L Torreão, J Ramalho, MMS Camões, CS de Oliveira, VIIS Serafim, J Colleti Junior, CG de Almeida, MHM da Costa, JF Valerio, ME Navajas, PM Riveiro, A Lubiana, ACLC Brito, V Moretto, LMMD Rachid, M Valle, PP de Souza, RPL Victor, NR Castro, T Sakomura, M Molon, AR Ferreira, JG da Fonseca, VCA Cunali, VCA Chagas, G Belek, TS da Rocha, LCFF de Mello, LM Machado, NV Moliterno, C Duran, CLEB Sanos, GT Ribeiro, PSL da Silva, R Lipinski, A Soledade, KC Branco, ACO Teles, GF da Cruz, MR de Mendonça, E Malheiros, J Vicari, PNT Izidro, NMP Campos, TC Pontes, CRF Carneiro, AH Imamura, FM Yoshioka, MCMB Duarte, T Menezes, C Falconiere, F Matos, RS Zeitel, CC Nogueras, ML da Silva, M Aprille, TYM Pires, AF Portella, PVG Flores, PP Alfradique, RC Nascimento, MO Saldanha, AT Alves, WJ de Almeida, M Rodrigues, E Lopes Júnior, MRP Komka, MAR Nascimento, CRC Lopes, TMC Bernardi, RV Falcão, AR Fraga, AA Machado, JEF Godoy, J Barcellos, RLS Queiroz, VVS de Almeida, JZG Lira, M Alvo, TCP Peçanha, AM de Sousa, CS Sanches, AR Wendhausen, SR Pinheiro, MA Orione, AM Minossi, NL Bresolin, CDF Martins, VF Cury, RPB Quinet, AL Netto, R Limonge, SST Tamari, SER de Souza, R Veiga, NGCB Couto, MFP Ribeiro, AK de Aguiar, M Evangelista, JR Krauzer, H Muller, DHS Genu, PA Alvares, KL Maciel, FT Valente, M Centeville, GJ Espinheira, A da Silva, PL Vasconcelos, AZ Hädrich, ALDGC Sousa, GA Gandra, ACA Souto, L Sabatini, PRD João, ABMP Machado, FR Fonseca, APA Resende, RV da Silva, TP da Silva, LLT Barros, CSV de Souza, KO Harada, D Calçado, LSB Pinheiro, MCM Frota, LB Pulcheri, LM e Silva, KJ dos Santos, FH de Nuncio, IO Gomes Júnior, ACC Gomes, MA Klitzke, FR de Souza, FSC Carvalho, FP de Lima, LR Braun Filho, MAG de Oliveira, T Castilho, IP Pistelli, JD Paccez, C Cendon, R Sapolnick, D Fronza, C Toscan, RM Pinelli, JV Alencar, HL di Pace, AD Ramos, AC Molinari, JF Assis, APCR Chavarri, RC Pereira, CL Freitas, ICDM Salmen, RCM Guerini, J Asakura, ACR Pires, G Benvenuti, LM Fernandes, NF Oliveira, HJB Barros, LCE Nascimento, MB Machado, AOR dos Santos, AC da Silva, ACE de Oliveira, SKY Reinheimer, PCS Mello, IO Araújo, KLC Rodrigues, MN Amari, M Andersson, LMCM Petrini, AKSF Luz, ESS Serafim, RF Barbosa, D Souza, AF Delgado, ALP Guerra, JY Afiune, J Huber, S Casonato, DCB da Silva, OR de Araujo, FMD Fialho, LFR Soares, AA de Queiroz Júnior, A Sartorelli, ACP Zuccoli, M Castelani, LAA da Silva, SRA Lima, MJSL de Araújo, ACS da Cruz, PM Sillero, G Sgorlon, TRS Alves, MMB Muniz, RHP Pereira, NR Gonçalves, RPV Teixeira, IA Vasconcelos, CT Rossetti, RG Cesar, MAJ Alves, MK Martins, JAR Rocha, L Arruda, ALY Grillo, G Barros
Publikováno v: The Lancet Child & Adolescent Health. 5:873-881
Data on the prevalence and mortality of paediatric sepsis in resource-poor settings are scarce. We aimed to assess the prevalence and in-hospital mortality of severe sepsis and septic shock treated in paediatric intensive care units (PICUs) in Brazil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3db9431f839107fb4706c2c5c809d10c
https://doi.org/10.1016/s2352-4642(21)00286-8
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3
Akademický článek
Prevalence of ERα-397 PvuII C/T, ERα-351 XbaI A/G and PGR PROGINS polymorphisms in Brazilian breast cancer-unaffected women
Autor: J. Giacomazzi, E. Aguiar, E.I. Palmero, A.V. Schmidt, G. Skonieski, D.D. Filho, H. Bock, M.L. Saraiva-Pereira, I.P. Ewald, L. Schuler-Faccini, S.A. Camey, M. Caleffi, R. Giugliani, P. Ashton-Prolla
Publikováno v: Brazilian Journal of Medical and Biological Research, Vol 45, Iss 10, Pp 891-897 (2012)
Polymorphisms of hormone receptor genes have been linked to modifications in reproductive factors and to an increased risk of breast cancer (BC). In the present study, we have determined the allelic and genotypic frequencies of the ERα-397 PvuII C/T
Externí odkaz: https://doaj.org/article/cd70abeaba9d48e5b668eeec853ef17a
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4
Akademický článek
Prevalence of the STK15 F31I polymorphism and its relationship with mammographic density
Autor: J. Giacomazzi, E. Aguiar, E.I. Palmero, A.V. Schmidt, G. Skonieski, D. Duarte Filho, H. Bock, M.L. Saraiva-Pereira, L. Schuler-Faccini, S.A. Camey, M. Caleffi, R. Giugliani, P. Ashton-Prolla
Publikováno v: Brazilian Journal of Medical and Biological Research, Vol 44, Iss 4, Pp 291-296 (2011)
Several studies have identified the single nucleotide polymorphism STK15 F31I as a low-penetrance risk allele for breast cancer, but its prevalence and risk association in the Brazilian population have not been determined. The goal of this study was
Externí odkaz: https://doaj.org/article/10c2f3da1b324f68b7566fcdfa8c12cc
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5
Automated healthcare-associated infection surveillance using an artificial intelligence algorithm
Autor: Camila Hubner Dalmora, R.P. dos Santos, Tiago Andres Vaz, A. Menezes, Otávio Luiz da Fontoura Carvalho, R. Pozza, Diandra Caroline Martins e Silva, N. Golin, J. Giacomazzi, S. Lukasewicz
Publikováno v: Infection Prevention in Practice
Infection Prevention in Practice, Vol 3, Iss 3, Pp 100167-(2021)
Summary: Healthcare-associated infections (HAIs) are among the most common adverse events in hospitals. We used artificial intelligence (AI) algorithms for infection surveillance in a cohort study. The model correctly detected 67 out of 73 patients w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb66bbba8a501b44b047091c30e2e099
http://europepmc.org/articles/PMC8387762
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8
Akademický článek
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10
The burden of serious human fungal infections in Brazil
Autor: Arnaldo Lopes Colombo, J Giacomazzi, Maria Adelaide Millington, Alessandro C. Pasqualotto, Lilian C. Carneiro, David W. Denning, Ludmila Fiorenzano Baethgen
Publikováno v: Mycoses. 59:145-150
In Brazil, human fungal infections are prevalent, however, these conditions are not officially reportable diseases. To estimate the burden of serious fungal diseases in 1 year in Brazil, based on available data and published literature. Historical of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27018ce5f4e08929708cc98d546693f4
https://doi.org/10.1111/myc.12427
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