Peer-Reviewed Publication
J Dent2026;107031.September 8, 2026Journal Article

Predicting Headache at Age 40 Using Machine Learning: A Life-Course Analysis from the 1982 Pelotas Birth Cohort, Brazil.

João Pedro Caetano1, Helena Silveira Schuch2, Luiz Alexandre Chisini1, Marilia Leão Goettems1, Marcos Britto Correa1, Fernando Pires Hartwig3, Bernardo Horta3, Janaína Vieira Dos Santos Motta3, Alexandre Dias Porto Chiavegatto Filho4, Flávio Fernando Demarco5, Noéli Boscato6
1Graduate Program in Dentistry, Federal University of Pelotas, Pelotas, RS, Brazil.
2School of Dentistry, The University of Queensland, Brisbane, QLD, Australia.
3Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.
4School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
5Graduate Program in Dentistry, Federal University of Pelotas, Pelotas, RS, Brazil; Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.
6Graduate Program in Dentistry, Federal University of Pelotas, Pelotas, RS, Brazil. Electronic address: noeliboscato@gmail.com.

Abstract

OBJECTIVE: This study aims to develop and evaluate machine learning (ML) models predicting headache at 40 years of age using longitudinal data from the 1982 Pelotas Birth Cohort, Brazil. METHODS: Analysis included 2,963 participants followed from birth to age 40. The outcome of interest was self-reported headache at age 40, ascertained by a standardized yes/no item. Predictors spanning sociodemog…

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