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A. Chiavegatto · SciRah

Researcher profile · Semantic Scholar

A. Chiavegatto

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A. Chiavegatto — researcher profile on SciRah

h-index: 21
Works: 123
Citations: 1,969

Most-cited papers

Machine Learning for Hypertension Prediction: a Systematic Review
G. F. S. Silva, T. P. Fagundes, B. C. Teixeira, A. Chiavegatto
2022Current Hypertension Reports174 citations
Semantic Scholar
COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
Andre Filipe de Moraes Batista, J. Miraglia, T. H. R. Donato, A. Chiavegatto
2020medRxiv168 citations Open access
Semantic Scholar
Neuropathological diagnoses and clinical correlates in older adults in Brazil: A cross-sectional study
C. Suemoto, R. Ferretti-Rebustini, R. Rodriguez, R. Leite +12 more
2017PLoS Medicine128 citations Open access
Semantic Scholar
Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study
B. P. Nunes, A. Chiavegatto, S. Pati, Doralice S. Cruz Teixeira +6 more
2017BMJ Open76 citations Open access
Semantic Scholar
Machine learning for predicting chronic diseases: a systematic review.
F. Delpino, Â. K. Costa, S. Farias, A. Chiavegatto +2 more
2022Public Health73 citations Open access
Semantic Scholar
A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
Fernando Timoteo Fernandes, Tiago Almeida de Oliveira, Cristiane Esteves Teixeira, Andre Filipe de Moraes Batista +2 more
2020Scientific Reports73 citations Open access
Semantic Scholar
[Analysis of the prevalence of cardiovascular diseases and associated factors among the elderly, 2000-2010].
K. Massa, Y. Duarte, A. Chiavegatto
2019Ciência & Saúde Coletiva68 citations Open access
Semantic Scholar
Predictors of tooth loss: A machine learning approach
H. Elani, A. F. M. Batista, W. Thomson, I. Kawachi +1 more
2021PLoS ONE43 citations Open access
Semantic Scholar
Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning”
A. Chiavegatto, André Filipe De Moraes Batista, H. D. dos Santos
2021Journal of Medical Internet Research41 citations Open access
Semantic Scholar
Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults
H. Schuch, M. Furtado, Gabriela Dos Santos Silva, Ichiro Kawachi +2 more
2023JAMA Network Open37 citations Open access
Semantic Scholar
The epidemiology of personality disorders in the Sao Paulo Megacity general population
G. L. Santana, B. M. Coêlho, Yuan-Pang Wang, A. Chiavegatto +2 more
2018PLoS ONE35 citations Open access
Semantic Scholar
Neonatal mortality prediction with routinely collected data: a machine learning approach
A. F. M. Batista, C. S. G. Diniz, Eliana Bonilha, I. Kawachi +1 more
2021BMC Pediatrics32 citations Open access
Semantic Scholar
Multilevel Analysis of the Patterns of Physical-Mental Multimorbidity in General Population of São Paulo Metropolitan Area, Brazil
Yuan-Pang Wang, B. P. Nunes, B. M. Coêlho, G. L. Santana +5 more
2019Scientific Reports32 citations Open access
Semantic Scholar
Patterns and predictors of health service use among people with mental disorders in São Paulo metropolitan area, Brazil
Y.-P. Wang, A. Chiavegatto, A. M. Campanha, A. M. Malik +4 more
2016Epidemiology and Psychiatric Sciences31 citations Open access
Semantic Scholar
Cardiometabolic diseases.
S. R. Ferreira, A. Chiavegatto, M. L. Lebrão, Y. A. de Oliveira Duarte +1 more
2019Revista brasileira de epidemiologia = Brazilian journal of epidemiology28 citations Open access
Semantic Scholar
Individual and Neighborhood Factors Associated With Functional Mobility and Falls in Elderly Residents of São Paulo, Brazil: A Multilevel Analysis
Carla Ferreira Do Nascimento, Y. Duarte, M. L. Lebrão, A. Chiavegatto
2018Journal of Aging and Health20 citations Open access
Semantic Scholar
Socio-demographic patterns of public, private and active travel in Latin America: Cross-sectional findings from the ELANS study
Gerson Luis de Moraes Ferrari, I. Kovalskys, M. Fisberg, G. Gómez +56 more
202019 citations Open access
Semantic Scholar
Dual burden of chronic physical diseases and anxiety/mood disorders among São Paulo Megacity Mental Health Survey Sample, Brazil.
Melanie S. Askari, L. Andrade, A. Chiavegatto, C. M. Silveira +4 more
2017Journal of Affective Disorders19 citations
Semantic Scholar
Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts
Roberta Moreira Wichmann, Fernando Timoteo Fernandes, A. Chiavegatto, A. Ciconelle +24 more
2023Scientific Reports17 citations Open access
Semantic Scholar
Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.
H. D. dos Santos, F. Zampieri, K. Normílio-Silva, G. da Silva +3 more
2019Journal of critical care17 citations Open access
Semantic Scholar
Zika-Associated Microcephaly Epidemic and Birth Rate Reduction in Brazilian Cities
Fredi Alexander Diaz-Quijano, D. Pelissari, A. Chiavegatto
2018American Journal of Public Health17 citations Open access
Semantic Scholar
Individual and contextual characteristics of indoor and outdoor falls in older residents of São Paulo, Brazil.
C. F. Do Nascimento, Y. Duarte, M. L. Lebrão, A. Chiavegatto
2017Archives of gerontology and geriatrics (Print)17 citations
Semantic Scholar
Time trend of lack of access to health services in Brazil, 1998-2013.
B. P. Nunes, T. Flores, L. P. Garcia, A. Chiavegatto +2 more
2016Epidemiologia e Serviços de Saúde17 citations Open access
Semantic Scholar
Saneamento básico e saúde autoavaliada nas capitais brasileiras: uma análise multinível
Kaio Henrique Correa Massa, A. Chiavegatto
202016 citations Open access
Semantic Scholar
Tendência temporal da falta de acesso aos serviços de saúde no Brasil, 1998-2013
B. Nunes, Thaynã Ramos Flores, Leila Posenato Garcia, A. Chiavegatto +2 more
201616 citations Open access
Semantic Scholar
Prediction models for carbapenem‐resistant Enterobacterales carriage at liver transplantation: A multicenter retrospective study
M. Freire, M. Rinaldi, D. Terrabuio, M. Furtado +16 more
2022Transplant Infectious Disease15 citations Open access
Semantic Scholar
Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit
Jessica Morley, Emmie Hine, Huw Roberts, Renée A. Sirbu +21 more
2025Minds and Machines14 citations Open access
Semantic Scholar
Dental Services use prediction among adults in Southern Brazil: A gender and racial fairness-oriented Machine Learning approach.
L. A. Chisini, Cínthia Fonseca de Araújo, F. Delpino, L. Figueiredo +4 more
2025E -journal of dentistry13 citations Open access
Semantic Scholar
Factors associated with age at natural menopause among elderly women in São Paulo, Brazil
Alejandra Andrea Roman Lay, Y. A. de Oliveira Duarte, A. Chiavegatto
2019Menopause13 citations Open access
Semantic Scholar
A Machine Learning Prediction Model for Immediate Graft Function After Deceased Donor Kidney Transplantation
R. Quinino, F. Agena, Luís Gustavo Modelli de Andrade, M. Furtado +2 more
2023Transplantation12 citations Open access
Semantic Scholar
Early identification of older individuals at risk of mobility decline with machine learning.
C. F. Do Nascimento, André Filipe de Moraes Batista, Y. Duarte, A. Chiavegatto
2022Archives of gerontology and geriatrics (Print)12 citations
Semantic Scholar
Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho
F. T. Fernandes, A. Chiavegatto
2019Revista Brasileira de Saúde Ocupacional12 citations Open access
Semantic Scholar
The relationship between neighborhood-level socioeconomic characteristics with individual mental disorders in five cities in Latin America: Multilevel models from the World Mental Health Surveys
Laura A. Sampson, S. S. Martins, Shui Yu, A. Chiavegatto +12 more
2018Social Psychiatry and Psychiatric Epidemiology11 citations Open access
Semantic Scholar
[Quality of diet and daily spending on food by adults with cardiovascular disease in Brazil].
C. Torreglosa, F. Sarti, Â. Bersch-Ferreira, B. Weber +2 more
2020Cadernos de Saúde Pública10 citations Open access
Semantic Scholar
Emergency department use and Artificial Intelligence in Pelotas: design and baseline results
F. Delpino, L. Figueiredo, Â. K. Costa, Ioná Carreno +17 more
2023Revista brasileira de epidemiologia = Brazilian journal of epidemiology9 citations Open access
Semantic Scholar
Functional mobility and 10-year all-cause and cause-specific mortality in older people from São Paulo, Brazil.
Carla Ferreira Do Nascimento, Alejandra Andrea Roman Lay, Y. Duarte, A. Chiavegatto
2022Brazilian Journal of Physical Therapy9 citations Open access
Semantic Scholar
Mortality, survival, and causes of death in mental disorders: comprehensive prospective analyses of the UK Biobank cohort
Vivian Boschesi Barros, Fernanda Fortti Vianna Schmidt, A. Chiavegatto
2022Psychological Medicine9 citations
Semantic Scholar
Prediction of absenteeism in public schools teachers with machine learning
Fernando Timoteo Fernandes, A. Chiavegatto
2021Revista de Saúde Pública9 citations Open access
Semantic Scholar
Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys
A. Chiavegatto, Laura A. Sampson, S. S. Martins, Shui Yu +7 more
2017BMJ Open9 citations Open access
Semantic Scholar
Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil
Gabriel Ferreira dos Santos Silva, L. Duarte, Mirian Matsura Shirassu, S. Peres +2 more
2023Artificial Intelligence in the Life Sciences8 citations Open access
Semantic Scholar
Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach.
C. F. Do Nascimento, H. D. dos Santos, André Filipe de Moraes Batista, Alejandra Andrea Roman Lay +2 more
2021Age and Ageing8 citations Open access
Semantic Scholar
Income Inequality and Self-Reported Health Among Older Adults in Brazil
Kaio Henrique Correa Massa, A. Chiavegatto
2020Journal of Applied Gerontology8 citations Open access
Semantic Scholar
Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study
Keisyanne Araújo-Moura, L. Souza, Tiago Almeida de Oliveira, Mateus Silva Rocha +2 more
2025International Journal of Public Health7 citations Open access
Semantic Scholar
Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study
C. Szlejf, A. F. M. Batista, L. Bertola, P. Lotufo +3 more
2023Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas7 citations Open access
Semantic Scholar
Machine learning and national health data to improve evidence: Finding segmentation in individuals without private insurance
Joana Raquel Raposo dos Santos, C. Días, A. Chiavegatto
20217 citations
Semantic Scholar
Social inequalities in the self-rated health of the elderly people in the city of São Paulo, Brazil.
J. L. Antunes, A. Chiavegatto, Y. Duarte, M. L. Lebrão
2019Revista brasileira de epidemiologia = Brazilian journal of epidemiology7 citations Open access
Semantic Scholar
Inteligência artificial na saúde pública brasileira: potencialidades, desafios e implicações éticas para o Sistema Único de Saúde
Marcela Quaresma Soares, A. Chiavegatto
2026Revista Brasileira de Epidemiologia6 citations Open access
Semantic Scholar
Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data
Gabriela Dos Santos Silva, Roberta Moreira Wichmann, Francisco Costa da Silva, A. Chiavegatto
2025Scientific Reports6 citations Open access
Semantic Scholar
The Impact of Time, Region, and Income Level on Stillbirth and Neonatal Mortality in Brazil from 2000-2019.
S. Rent, T. Rocha, L. Silva, João Vitor Perez Souza +4 more
2023Jornal de Pediatria6 citations
Semantic Scholar
Overachieving Municipalities in Public Health: A Machine-learning Approach
A. Chiavegatto, H. D. dos Santos, C. F. Do Nascimento, K. Massa +1 more
2018Epidemiology6 citations Open access
Semantic Scholar

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