基于复杂值的灵活神经树和负样本选择算法的糖尿病复合关系识别

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Updated: Jun 24, 2025

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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Xiaochao Sun1, Bin Yang2

  • 1Library, Zaozhuang University, Zaozhuang, 277160, China.

Current computer-aided drug design
|June 11, 2024
PubMed
概括

这项研究引入了一种使用复杂值灵活神经树 (CVFNT) 模型和负样本选择的新方法,以准确地选草药中的糖尿病化合物用于网络药理学. 这种方法改善了化合物选择,以便更好地进行治疗分析.

关键词:
具有复杂价值的灵活神经树糖尿病 糖尿病患者 糖尿病患者负样本选择 负样本选择网络药理学 网络药理学虚拟选是虚拟的选.

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