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Updated: Jan 23, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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达尔玛:用于儿科尾炎诊断,严重程度评估和基于证据的临床决策支持的新,临床基础的机器学习框架

Anup Thapa Kshetri1, Subash Pahari2, Shashank Timilsina1

  • 1Department of Emergency Medicine and General Practice, Matri-Sishu Miteri Provincial Hospital, Pokhara, Gandaki, Nepal.

PLOS digital health
|January 21, 2026
PubMed
概括

机器学习工具Dharma准确诊断儿科尾炎并评估其严重程度,即使没有清晰的尾图像. 这种开源框架有助于临床决策和预后指导.

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