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开发和验证一种机器学习模型,用于预测与口服糖尿病药物的药物相互作用

Quang-Hien Kha1, Ngan Thi Kim Nguyen2, Nguyen Quoc Khanh Le3

  • 1International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan; AIBioMed Research Group, Taipei Medical University, Taipei 110, Taiwan.

Methods (San Diego, Calif.)
|November 3, 2024
PubMed
概括

这项研究引入了一种机器学习模型,用于预测危险的药物相互作用 (DDI),特别用于口服糖尿病药物. 该工具通过识别复杂药物治疗方案中的潜在风险来提高患者的安全性.

关键词:
伴发病性疾病管理药物相互作用 药物相互作用机器学习 机器学习口服 糖尿病 药物 药物简化分子输入线输入系统极端梯度提升 极端梯度提升

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