Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier

Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier

Non-communicable disease, especially chronic disease, is the most common factor of complication of deteriorating physical health and the state of one’s mind. It is also a prominent cause of illness and mortality around the world. Primarily chronic disease is preventable at a particular st...

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Bibliographic Details
Main Authors: Pooja Yadav, S. C. Sharma, Rajesh Mahadeva, Shashikant P. Patole
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Chronic disease
feature selection
hyperparameter tuning
machine learning
non-communicable diseases
prediction model
Online Access:https://ieeexplore.ieee.org/document/10196339/

Internet

https://ieeexplore.ieee.org/document/10196339/

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