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Updated: Jul 24, 2026

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针对小细胞神经内分泌宫癌的基于机器学习的预后模型的开发和外部验证:一项多中心研究

Yaxin Kang1, Lele Chang1, Huaqin Lin1

  • 1Departments of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer Metabolism, Fuzhou, Fujian, 350014, China.

BMC cancer
|November 25, 2025
PubMed
概括

一个新的机器学习模型Stepwise Cox (StepCox) +随机生存森林 (SCR) 准确地预测了小细胞神经内分泌宫癌 (SCNECC) 的预后. 该工具有助于临床医生识别高风险患者并改进治疗策略.

关键词:
机器学习 机器学习这是一项多中心研究.预测模型是一个预测模型.在SCNECCC中,我们可以看到SCNECC.在 SEER 数据库中,我们可以看到

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Mouse Models of Cancer Study02:43

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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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Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...