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Updated: Mar 12, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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使用XGBoost和SHAP可解释性的药物相关流产风险评估:基于FAERS数据库的现实世界药监测分析

Sen Lin1,2, Lanyue Ma2, Ruiqi Zhao2

  • 1Department of Oncology and Hematology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.

Frontiers in pharmacology
|March 11, 2026
PubMed
概括

评估与药物相关的流产风险至关重要. 机器学习将免疫调节剂,抗病毒药物和精神病药物确定为潜在的风险,强调需要个性化妊娠药物安全评估.

关键词:
在FAERS数据库中,我们可以找到FAERS数据库.在XGBoost中使用.不成比例性分析分析与药物相关的流产免疫调节剂是一种免疫调节剂.

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