麻醉管理建议 使用机器学习算法减少心脏手术后急性损伤的风险

Ahmad Ali Abin1,2, Ahmad Molla1, Azar Ejmalian3

  • 1Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran.

PubMed
概括

这项研究引入了一种机器学习方法,用于预测和最大限度地降低心脏手术后急性损伤 (AKI) 风险. 该工具有助于麻醉科医生选择最佳参数,以减少术后并发症并改善患者的治疗结果.

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