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Updated: Mar 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Wan-Min Tsai1, Heping Zhang2, Eugenia Buta3
1Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA, wanmin1027@gmail.com.
This study introduces an improved tree-based method to identify patient subgroups that benefit most from specific treatments. The enhanced algorithm aids in personalized medicine and clinical decision-making for better health outcomes.
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