Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study

Abstract Background and Method This study set out to identify the factors and combinations of factors associated with the individual’s premature death, using data from the Finnish Longitudinal Study on Ageing Municipal Employees (FLAME) which involved 6,257 participants over a 29-year follow-up peri...

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Autors principals:	Lily Nosraty, Esko Turunen, Saila Kyrönlahti, Clas-Håkan Nygård, Prakash KC, Subas Neupane
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-01-01
Col·lecció:	BMC Medical Research Methodology
Matèries:	Midlife antecedents General Unary Hypothesis Automaton (GUHA) method Data mining Mortality
Accés en línia:	https://doi.org/10.1186/s12874-025-02477-6
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