Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction

Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction

Diabetes, a significant global health crisis, is primarily driven in India by unhealthy diets and sedentary lifestyles, with rapid urbanization amplifying these effects through convenience-oriented living and limited physical activity opportunities, underscoring the need for advanced preventative st...

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Bibliographic Details
Main Authors:	Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, Diptendu Sinha Roy, Manob Jyoti Saikia
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Bioengineering
Subjects:	diabetes prediction influential feature values ensemble models Shapley additive explanations
Online Access:	https://www.mdpi.com/2306-5354/11/12/1215
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