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1
Respiratory deficits in a rat model of Parkinson’s disease
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Respiratory deficits in a rat model of Parkinson’s disease

Tuppy, M ; Barna, B.F ; Alves-dos-Santos, L ; Britto, L.R.G ; Chiavegatto, S ; Moreira, T.S ; Takakura, A.C

Neuroscience, 2015-06, Vol.297, p.194-204 [Peer Reviewed Journal]

United States: Elsevier Ltd

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2
Prediction of absenteeism in public schools teachers with machine learning
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Prediction of absenteeism in public schools teachers with machine learning

Fernandes, Fernando Timoteo ; Chiavegatto Filho, Alexandre Dias Porto

Revista de saúde pública, 2021-01, Vol.55, p.23-23 [Peer Reviewed Journal]

Faculdade de Saúde Pública da Universidade de São Paulo

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3
Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study
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Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study

Szlejf, C ; Batista, A F M ; Bertola, L ; Lotufo, P A ; Benseãor, I M ; Chiavegatto Filho, A D P ; Suemoto, C K

Brazilian journal of medical and biological research, 2023-01, Vol.56 (1), p.e12475-e12475 [Peer Reviewed Journal]

Brazil: Associacao Brasileira de Divulgacao Cientifica (ABDC)

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4
Machine learning for predicting Chagas disease infection in rural areas of Brazil
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Machine learning for predicting Chagas disease infection in rural areas of Brazil

De Rose Ghilardi, Fabio ; Silva, Gabriel ; Vieira, Thallyta Maria ; Mota, Ariela ; Bierrenbach, Ana Luiza ; Damasceno, Renata Fiuza ; Oliveira, Lea Campos de ; Dias Porto Chiavegatto Filho, Alexandre ; Sabino, Ester Carvalho, Marilia Sá

PLoS neglected tropical diseases, 2024-04, Vol.18 (4), p.e0012026-e0012026 [Peer Reviewed Journal]

United States: Public Library of Science

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5
Predictors of tooth loss: A machine learning approach
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Predictors of tooth loss: A machine learning approach

Elani, Hawazin W ; Batista, André F. M ; Thomson, W. Murray ; Kawachi, Ichiro ; Chiavegatto Filho, Alexandre D. P Le, Khanh N.Q.

PloS one, 2021-06, Vol.16 (6), p.e0252873-e0252873 [Peer Reviewed Journal]

San Francisco: Public Library of Science

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6
Latin American Study of Nutrition and Health (ELANS): rationale and study design
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Latin American Study of Nutrition and Health (ELANS): rationale and study design

Fisberg, M ; Kovalskys, I ; Gómez, G ; Rigotti, A ; Cortés, L Y ; Herrera-Cuenca, M ; Yépez, M C ; Pareja, R G ; Guajardo, V ; Zimberg, I Z ; Chiavegatto Filho, A D P ; Pratt, M ; Koletzko, B ; Tucker, K L

BMC public health, 2016-01, Vol.16 (94), p.93-93, Article 93 [Peer Reviewed Journal]

England: BioMed Central Ltd

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7
Physician preference for receiving machine learning predictive results: A cross-sectional multicentric study
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Article
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Physician preference for receiving machine learning predictive results: A cross-sectional multicentric study

Wichmann, Roberta Moreira ; Fagundes, Thales Pardini ; de Oliveira, Tiago Almeida ; Batista, André Filipe de Moraes ; Chiavegatto Filho, Alexandre Dias Porto Roman-Gonzalez, Avid

PloS one, 2022-12, Vol.17 (12), p.e0278397-e0278397 [Peer Reviewed Journal]

United States: Public Library of Science

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8
A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

Fernandes, Fernando Timoteo ; de Oliveira, Tiago Almeida ; Teixeira, Cristiane Esteves ; Batista, Andre Filipe de Moraes ; Dalla Costa, Gabriel ; Chiavegatto Filho, Alexandre Dias Porto

Scientific reports, 2021-02, Vol.11 (1), p.3343-3343, Article 3343 [Peer Reviewed Journal]

England: Nature Publishing Group

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9
Neuropathological diagnoses and clinical correlates in older adults in Brazil: A cross-sectional study
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Neuropathological diagnoses and clinical correlates in older adults in Brazil: A cross-sectional study

Suemoto, Claudia K ; Ferretti-Rebustini, Renata E L ; Rodriguez, Roberta D ; Leite, Renata E P ; Soterio, Luciana ; Brucki, Sonia M D ; Spera, Raphael R ; Cippiciani, Tarcila M ; Farfel, Jose M ; Chiavegatto Filho, Alexandre ; Naslavsky, Michel Satya ; Zatz, Mayana ; Pasqualucci, Carlos A ; Jacob-Filho, Wilson ; Nitrini, Ricardo ; Grinberg, Lea T Brayne, Carol

PLoS medicine, 2017-03, Vol.14 (3), p.e1002267-e1002267 [Peer Reviewed Journal]

United States: Public Library of Science

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10
Income inequality is associated with adolescent fertility in Brazil: a longitudinal multilevel analysis of 5,565 municipalities
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Income inequality is associated with adolescent fertility in Brazil: a longitudinal multilevel analysis of 5,565 municipalities

Chiavegatto Filho, Alexandre D P ; Kawachi, Ichiro

BMC public health, 2015-02, Vol.15 (1), p.103-103, Article 103 [Peer Reviewed Journal]

England: BioMed Central

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