The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions by Audêncio Victor

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The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions. by Audêncio Victor

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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

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Nomogram predicting overall survival in hospitalized cervical cancer patients in Mato Grosso, Brazil by Sancho Pedro Xavier, Audêncio Victor, Noemi Dreyer Galvão, Ageo Mario Cândido da Silva

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Mental health and gestational weight gain: A comparison between Brazilian cohorts by Audêncio Victor, Maria Paula Carvalho Leitão, Perla Pizzi Argentato, Lívia Patricia Rodrigues Batista, Laisla de França da Silva Teles, Liania A. Luzia, Rinaldo Artes, Patricia H. C. Rondó

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Mental health and gestational weight gain: A comparison between Brazilian cohorts. by Audêncio Victor, Maria Paula Carvalho Leitão, Perla Pizzi Argentato, Lívia Patricia Rodrigues Batista, Laisla de França da Silva Teles, Liania A Luzia, Rinaldo Artes, Patricia H C Rondó

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Predictive modeling of gestational weight gain: a machine learning multiclass classification study by Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho

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Factors associated with death from COVID-19 in traditional peoples and communities in Brazil by Sebastião Bruno Taveira Silva, Audêncio Victor, Ana Raquel Ernesto Manuel Gotine, Dalva Maria de Assis, Marcelo Yoshito Wada, Greice Madeleine Ikeda do Carmo, Luciana Nogueira de Almeida Guimarães, Eucilene Alves Santana

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Factors associated with death from COVID-19 in traditional peoples and communities in Brazil. by Sebastião Bruno Taveira Silva, Audêncio Victor, Ana Raquel Ernesto Manuel Gotine, Dalva Maria de Assis, Marcelo Yoshito Wada, Greice Madeleine Ikeda do Carmo, Luciana Nogueira de Almeida Guimarães, Eucilene Alves Santana

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Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo. by Audêncio Victor, Diego Augusto Medeiros Santos, Eduardo Koerich Nery, Danilo Pereira Mori, Pamella Cristina de Carvalho Lucas, Denise Cammarota, Guillermo Leonardo Florez Montero, Fabiano Novaes Barcellos Filho, Ana Lúcia Frugis Yu, Telma Regina Marques Pinto Carvalhanas

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Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo by Audêncio Victor, Diego Augusto Medeiros Santos, Eduardo Koerich Nery, Danilo Pereira Mori, Pamella Cristina de Carvalho Lucas, Denise Cammarota, Guillermo Leonardo Florez Montero, Fabiano Novaes Barcellos Filho, Ana Lúcia Frugis Yu, Telma Regina Marques Pinto Carvalhanas

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