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

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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Bibliographic Details
Main Authors: Lily Nosraty, Esko Turunen, Saila Kyrönlahti, Clas-Håkan Nygård, Prakash KC, Subas Neupane
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Research Methodology
Subjects:
Midlife antecedents
General Unary Hypothesis Automaton (GUHA) method
Data mining
Mortality
Online Access:https://doi.org/10.1186/s12874-025-02477-6
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https://doi.org/10.1186/s12874-025-02477-6

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