Optimal parameters for each machine learning model are selected through the grid search.

<p>Optimal parameters for each machine learning model are selected through the grid search.</p>

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Bibliographic Details
Main Author:	Wonseok Jeong (5777678) (author)
Other Authors:	Wankyo Chung (2793526) (author)
Published:	2025
Subjects:	Medicine Biotechnology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified two sampling strategies shapley additive explanations previous machine learning prevent disease progression develop machine learning machine learning models xlink "> dementia top ten features separate test set related variables collected increased dementia risk korean longitudinal study burdensome health challenges based prediction models related features prediction models training set future dementia dementia using various algorithms treatment efficacy strongly associated statistical testing one based hyperparameter tuning generalizable ). g ., feature selection early diagnosis domain knowledge clinical parameters best sensitivity approach improved aging populations
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