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Sri Harsha Boppana1, Sachin Sravan Kumar Komati2, Raja Hamsa Chitturi3

  • 1Department of Internal Medicine, Nassau University Medical Center, East Meadow, NY 11554, USA.

Journal of clinical medicine
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PubMed
概括

随机森林分类器准确预测糖尿病患者的术后伤口感染和败血症,准确度超过94%. 这种机器学习方法使得早期干预能够改善患者的治疗结果并降低医疗保健成本.

关键词:
临床风险评估临床风险评估患有糖尿病的患者.术后并发症 术后并发症随机森林分类器随机森林分类器这是一种血症.伤口感染 伤口感染

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