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

Internet

https://www.mdpi.com/2306-5354/11/12/1215

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