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Chiavegatto Filho, Alexandre Dias Porto
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1

Does machine learning have a high performance to predict ob..:

Delpino, Felipe Mendes ; Costa, Ândria Krolow ; do Nascimento, Murilo César...
Nutrition, Metabolism and Cardiovascular Diseases.  , 2024
Link: https://doi.org/10.1016/..
 
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2

Emergency department use and Artificial Intelligence in Pel..:

Delpino, Felipe Mendes ; Figueiredo, Lílian Munhoz ; Costa, Ândria Krolow...
Revista Brasileira de Epidemiologia.  26 (2023)  - p. , 2023
Link: https://doi.org/10.1590/..
 
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3

Inteligência artificial, noções básicas para os profissiona..:

Cristófalo, Milena Martello ; Cristófalo, Renan Martello ; Andrade, Soraya Gomes de Amorim...
Arquivos Médicos dos Hospitais e da Faculdade de Ciências Médicas da Santa Casa de São Paulo.  , 2023
Link: https://doi.org/10.26432..
 
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4

Improving the performance of machine learning algorithms fo..:

Wichmann, Roberta Moreira ; Fernandes, Fernando Timoteo ; Chiavegatto Filho, Alexandre Dias Porto...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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5

Spatial Clusters of Cancer Mortality in Brazil: A Machine L..:

Casaes Teixeira, Bruno ; Toporcov, Tatiana Natasha ; Chiaravalloti-Neto, Francisco.
International Journal of Public Health.  68 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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6

Clusters of Pregnant Women with Severe Acute Respiratory Sy..:

Carneiro, Isadora Celine Rodrigues ; Feronato, Sofia Galvão ; Silveira, Guilherme Ferreira..
International Journal of Environmental Research and Public Health.  19 (2022)  20 - p. 13522 , 2022
Link: https://doi.org/10.3390/..
 
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7

Physician preference for receiving machine learning predict..:

Wichmann, Roberta Moreira ; Fagundes, Thales Pardini ; de Oliveira, Tiago Almeida...
PLOS ONE.  17 (2022)  12 - p. e0278397 , 2022
Link: https://doi.org/10.1371/..
 
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8

Early identification of older individuals at risk of mobili..:

do Nascimento, Carla Ferreira ; Batista, André Filipe de Moraes ; Duarte, Yeda Aparecida Oliveira.
Archives of Gerontology and Geriatrics.  100 (2022)  - p. 104625 , 2022
Link: https://doi.org/10.1016/..
 
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9

Functional mobility and 10-year all-cause and cause-specifi..:

Nascimento, Carla Ferreira do ; Roman Lay, Alejandra Andrea ; Duarte, Yeda Aparecida Oliveira.
Brazilian Journal of Physical Therapy.  26 (2022)  4 - p. 100431 , 2022
Link: https://doi.org/10.1016/..
 
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10

Mortality, survival, and causes of death in mental disorder..:

Boschesi Barros, Vivian ; Fortti Vianna Schmidt, Fernanda ; Chiavegatto Filho, Alexandre Dias Porto
Psychological Medicine.  53 (2022)  8 - p. 3480-3489 , 2022
Link: https://doi.org/10.1017/..
 
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11

Predição de absenteísmo docente na rede pública com machine..:

Fernandes, Fernando Timoteo ; Chiavegatto Filho, Alexandre Dias Porto
Revista de Saúde Pública.  55 (2021)  - p. 23 , 2021
Link: https://doi.org/10.11606..
 
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12

A multipurpose machine learning approach to predict COVID-1..:

Fernandes, Fernando Timoteo ; de Oliveira, Tiago Almeida ; Teixeira, Cristiane Esteves...
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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13

Cause-specific mortality prediction in older residents of S..:

do Nascimento, Carla Ferreira ; dos Santos, Hellen Geremias ; de Moraes Batista, André Filipe...
Age and Ageing.  50 (2021)  5 - p. 1692-1698 , 2021
Link: https://doi.org/10.1093/..
 
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14

Machine learning analysis to predict health outcomes among ..:

Nunes, Bruno Pereira ; Vissoci, João ; Delpino, Felipe Mendes...
Revista Brasileira de Epidemiologia.  24 (2021)  - p. , 2021
Link: https://doi.org/10.1590/..
 
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15

Machine learning to predict 30-day quality-adjusted surviva..:

Santos, Hellen Geremias dos ; Zampieri, Fernando Godinho ; Normilio-Silva, Karina...
Journal of Critical Care.  55 (2020)  - p. 73-78 , 2020
Link: https://doi.org/10.1016/..
 
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