Prognostic stratification of familial hypercholesterolaemia patients using AI algorithms: a gender-specific approach.

ABSTRACT:

Aims

Familial hypercholesterolaemia (FH) is the most prevalent autosomal dominant disorder, affecting about 1 in 200-250 individuals. It is the leading cause of early and aggressive coronary artery disease.

Methods and results

We analysed patients with genetically confirmed FH or a score >8 on the Dutch Lipid Clinics Network criteria from the National Registry of the Spanish Atherosclerosis Society, including individuals enrolled from January 2010 to December 2017. The model utilized a dataset incorporating family history, clinical characteristics, laboratory results, genetic data, imaging studies, and lipid-lowering treatment details. Eighty per cent of the population was allocated for training the AI algorithm and 20% was used for testing. A Histogram-based Gradient Boosti

SUBMITTER: Zamora A 

PROVIDER: S-EPMC12629648 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature