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跨算法特征方案的混合表型导向建模,适用于Acinetobacter baumannii的ICU死亡率预测

Abdelrahman Eid1,2, Rasha Khayyat3,4, Shadi Abu Alwafa5

  • 1Department of Mathematics, An-Najah National University, P.O. Box 7, Nablus, Palestine. abed.eid@najah.edu.

Scientific reports
|January 4, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
菌的预测基于人工智能的临床决策支持抗微生物耐药性 (AMR)临床风险分层预测ICU死亡率机器学习在重症监护中个性化/精确的急症护理以表型为指导的建模可持续发展目标3:健康与福祉没有监督的集群

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