Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study
The findings indicate that associations between single predictors and premature mortality should be interpreted with caution, even when adjusted for a limited number of other factors. This highlights the complexity of premature mortality and the need for comprehensive models considering multiple interacting factors.
Authors
- K C Prakash
- Saila Kyrönlahti (ORCID: https://orcid.org/0000-0003-4610-1184)
- Erja Turunen (ORCID: https://orcid.org/0000-0002-1194-6497)
- Subas Neupane (ORCID: https://orcid.org/0000-0002-5868-0980)
- Lily Nosraty (ORCID: https://orcid.org/0000-0003-4720-0459)
- Clas‐Håkan Nygård (ORCID: https://orcid.org/0000-0002-6962-7042)
Institutions
- University of Helsinki (FI)
- Tampere University (FI)
- Tampere University (FI)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1186/s12874-025-02477-6
- Citations
- 2
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.33
Funders
- Työsuojelurahasto
- Tays