Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity

•Investigating the use of machine learning classification to assess the effect of lifestyle factors on the obesity.•Using Explainable machine learning to interpret the results of the ML model in terms of how specific lifestyle factors influence the outcome of the classification. Obesity is a critica...

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Vydané v:	Intelligent systems with applications Ročník 23; s. 200427
Hlavní autori:	Khater, Tarek, Tawfik, Hissam, Singh, Balbir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2024 Elsevier
Predmet:	Explainable artificial intelligence Global explanations Local explanations Machine learning Model-agnostic methods Obesity Explainable artificial intelligence Obesity Model-agnostic methods Global explanations Machine learning Local explanations
ISSN:	2667-3053, 2667-3053
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