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Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
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检测急性损伤风险的潜在药物相互作用:使用可解释的机器学习模型进行基于人口的病例控制研究

Hayato Akimoto1,2, Takashi Hayakawa1,2, Takuya Nagashima1,2

  • 1Division of Pharmacology, Department of Biomedical Sciences, Nihon University School of Medicine, Itabashi-ku, Tokyo, Japan.

Frontiers in pharmacology
|June 8, 2023
PubMed
概括

结合循环利尿剂和组胺H2抑制剂会增加急性损伤 (AKI) 的风险. 机器学习模型识别了这种药物相互作用,提供了超越传统统计方法预测药物不良事件的洞察力.

关键词:
急性脏损伤急性脏损伤是什么人工智能是人工智能的人工智能.药物相互作用 (DDI) 是一种药物相互作用.机器学习是机器学习.毒药物是一种毒性药物.由于相互作用的相对过度风险.

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