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具有遗传和语义意识的同质网络,用于预测和评分并发病症

Karpaga Priyaa Kartheeswaran1, Arockia Xavier Annie Rayan1, Geetha Thekkumpurath Varrieth1

  • 1Department of Computer Science and Engineering, CEG Campus, Anna University, Chennai, Tamil Nadu, India.

Computers in biology and medicine
|October 17, 2024
PubMed
概括

这项研究引入了GSWHomoNet,这是一种利用遗传信息来预测疾病并发症和相关死亡风险的新方法. 该方法通过结合遗传链接的语义丰富性,改善患者分层和治疗策略来增强疾病预测.

关键词:
同发病异质网络的共发病性.伴随性病症评分 伴随性病症评分异质到同质的网络.嵌入元路径实例对对的嵌入.节点嵌入 节点嵌入语义意识同质网络 语义意识同质网络传导和感应链的预测.

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