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[最近关于机器学习在新生儿死性肠球炎的诊断和治疗方面的研究]

Cheng Cui1, Fei-Long Chen1, Lu-Quan Li1

  • 1Department of Neonatology, Children's Hospital of Chongqing Medical University/National Clinical Research Center for Child Health and Disorders/Ministry of Education Key Laboratory of Child Development and Disorders/Key Laboratory of Pediatrics in Chongqing, Chongqing 400014, China.

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
|August 2, 2023
PubMed
概括

机器学习有助于早期检测死性肠球炎 (NEC),这是一个严重的新生儿疾病. 这项技术分析风险因素,以更快,更准确的诊断和改善婴儿的结果.

关键词:
辅助诊断是一种辅助诊断.分类算法的分类算法.机器学习是机器学习.死性肠道结肠炎 (NECO) 是一种新生儿新生儿新生儿

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