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Updated: May 25, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Published on: January 11, 2020

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一种机器学习方法,利用CYP2C19和临床环境预测因素预测重度抑郁症的治疗疗效和不良影响

Marco Calabrò1,2,3, Chiara Fabbri2, Alessandro Serretti4,5

  • 1Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina.

Psychiatric genetics
|February 26, 2025
PubMed
概括

预测主要抑郁症治疗结果是具有挑战性的. 虽然细胞染色体P450 2C19 (CYP2C19) 活性和临床因素影响了结果,但机器学习模型显示的准确性中等,突出了精确精神病学的复杂性.

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