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Dataset Information

Analysis of the time to breast cancer diagnosis in Cuba: an observational study.


ABSTRACT:

Background

Breast cancer is the most prevalent cancer diagnosed among Cuban women and the second leading cause of mortality due to cancer, making it a major public health issue. It is necessary to identify the factors affecting the diagnosis time of breast cancer to avoid possible diagnosis delay, thus improving the survival rates. A large number of variables influencing diagnosis time are now available due to recent advancements in technologies for data collection. Standard regression models are inconsistent for modeling these high-dimensional datasets because of their tendency to overfit.

Methods

This study uses a wide range of demographic, biomedical, and socioeconomic variables to provide a detailed understanding of the factors affecting the breast cancer diagnosis time

SUBMITTER: Koley T 

PROVIDER: S-EPMC12754850 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature