Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease

Background: Coronary heart disease (CHD) remains a prominent cause of mortality globally, necessitating early and accurate detection methods. Traditional diagnostic approaches can be invasive, costly, and time-consuming, necessitating the need for more efficient alternatives. This aimed to optimize...

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Vydané v:	Informatics and Health Ročník 1; číslo 2; s. 70 - 81
Hlavní autori:	Omotehinwa, Temidayo Oluwatosin, Oyewola, David Opeoluwa, Moung, Ervin Gubin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	KeAi Communications Co., Ltd 01.09.2024
Predmet:	Clinical decision making Coronary heart disease Light gradient-boosting machine Machine learning MICE Tree-structured Parzen estimator
ISSN:	2949-9534, 2949-9534
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