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Updated: May 8, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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多种机器学习算法,外部临床队列的验证和模型增益效应的评估将更好地为生物信息模型的癌症研究提供服务

Fangshi Xu1, Zongyu Li1, Hao Guan1

  • 1Department of Vascular Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710004, Shaanxi Province, China.

Cancer cell international
|December 23, 2024
PubMed
概括

生物信息模型有助于个性化评估癌症患者. 进一步的研究应该比较算法,评估模型收益,并与临床数据验证,以改善癌症研究结果.

关键词:
生物信息学是一种生物信息学.临床验证 临床验证收益效应的增长效应机器学习算法 机器学习算法预测模型是一个预测模型.

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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