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Trabalho de evento-anais periodico
Knowledge discovery in databases: comorbidities in tuberculosis cases (2022)
Carvalho, Isabelle ; Neiva, Mariane Barros ; Miyoshi, Newton Shydeo Brandão ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Lima, Vinícius Costa ; Santos, Ketlin Fabri dos ; Mioto, Ana Clara de Andrade ; Mozini, Mariana Tavares ; Galliez, Rafael Mello ; Sanchez, Mauro Niskier ; Kritski, Afrânio Lineu ; Alves, Domingos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, ICMC, BIOENGENHARIA
Assuntos: COMORBIDADE, TUBERCULOSE, SAÚDE PÚBLICA, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_1. Acesso em: 20 jul. 2024. , 2022
APA
Carvalho, I., Neiva, M. B., Miyoshi, N. S. B., Crepaldi, N. Y., Bernardi, F. A., Lima, V. C., et al. (2022). Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_1
NLM
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Vancouver
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Trabalho de evento
InterMed: a mobile-based expert system for drug interactions analysis (2018)
Santos, Ketlin Fabri dos; Carvalho, Isabelle; Silva, Élvio Gilberto da; Silva, Patrick Pedreira; Neves, Fernando Tozze Alves; Alves, Domingos
Fonte: Annals. Nome do evento: Conference on ENTERprise Information Systems (CENTERIS). Unidade: FMRP
Assuntos: SISTEMAS DE INFORMAÇÃO, INTERAÇÃO DE DROGAS, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Ketlin Fabri dos et al. InterMed: a mobile-based expert system for drug interactions analysis. 2018, Anais.. Lisboa: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2018. Disponível em: https://www.researchgate.net/publication/331399370_InterMed_A_mobile-based_expert_system_for_drug_interactions_analysis. Acesso em: 20 jul. 2024.
APA
Santos, K. F. dos, Carvalho, I., Silva, É. G. da, Silva, P. P., Neves, F. T. A., & Alves, D. (2018). InterMed: a mobile-based expert system for drug interactions analysis. In Annals. Lisboa: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://www.researchgate.net/publication/331399370_InterMed_A_mobile-based_expert_system_for_drug_interactions_analysis
NLM
Santos KF dos, Carvalho I, Silva ÉG da, Silva PP, Neves FTA, Alves D. InterMed: a mobile-based expert system for drug interactions analysis [Internet]. Annals. 2018 ;[citado 2024 jul. 20 ] Available from: https://www.researchgate.net/publication/331399370_InterMed_A_mobile-based_expert_system_for_drug_interactions_analysis
Vancouver
Santos KF dos, Carvalho I, Silva ÉG da, Silva PP, Neves FTA, Alves D. InterMed: a mobile-based expert system for drug interactions analysis [Internet]. Annals. 2018 ;[citado 2024 jul. 20 ] Available from: https://www.researchgate.net/publication/331399370_InterMed_A_mobile-based_expert_system_for_drug_interactions_analysis
Trabalho de evento-anais periodico
Rule induction algorithms for classification of psychotic disorders involving social vulnerability features (2018)
Carvalho, Isabelle; Rosa, João Luís Garcia ; Santos, Ketlin Fabri dos; Alves, Domingos
Fonte: Procedia Computer Science. Nome do evento: International Conference on Enterprise Information Systems - CENTERIS. Unidades: ICMC, FMRP
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, TECNOLOGIAS DA SAÚDE, TRANSTORNOS PSICÓTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. Rule induction algorithms for classification of psychotic disorders involving social vulnerability features. Procedia Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2018.10.008. Acesso em: 20 jul. 2024. , 2018
APA
Carvalho, I., Rosa, J. L. G., Santos, K. F. dos, & Alves, D. (2018). Rule induction algorithms for classification of psychotic disorders involving social vulnerability features. Procedia Computer Science. Amsterdam: Elsevier. doi:10.1016/j.procs.2018.10.008
NLM
Carvalho I, Rosa JLG, Santos KF dos, Alves D. Rule induction algorithms for classification of psychotic disorders involving social vulnerability features [Internet]. Procedia Computer Science. 2018 ; 138 49-55.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.procs.2018.10.008
Vancouver
Carvalho I, Rosa JLG, Santos KF dos, Alves D. Rule induction algorithms for classification of psychotic disorders involving social vulnerability features [Internet]. Procedia Computer Science. 2018 ; 138 49-55.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1016/j.procs.2018.10.008

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