Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES

Abstract Background Recent researches have found a strong correlation between the triglyceride-glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease (CVD) risk. However, there is a lack of research on non-invasive and rapid prediction of cardiovascular risk. We aime...

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Үндсэн зохиолчид:	Yuqi Zhang, Sijin Li, Weijie Wu, Yanqing Zhao, Jintao Han, Chao Tong, Niansang Luo, Kun Zhang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2024-04-01
Цуврал:	BioData Mining
Нөхцлүүд:	Triglyceride-glucose index Atherogenic index of plasma Oculomics Cardiovascular risk Machine learning
Онлайн хандалт:	https://doi.org/10.1186/s13040-024-00363-3
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!