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通过机器学习识别用于宫癌预防的数据驱动临床子组:基于人口的,外部的和诊断验证的研究

Zhen Lu1, Binhua Dong2,3, Hongning Cai4

  • 1School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.

JMIR public health and surveillance
|March 19, 2025
PubMed
概括

机器学习确定了5个宫癌预防小组,具有明显的癌前风险. 这使得个性化策略成为可能,优先考虑高风险群体进行肠镜检查,并为低风险群体扩大HPV查规模.

关键词:
欧洲人权理事会 欧洲人权理事会ML ML 在 ML算法算法是一种算法.癌症 癌症 癌症 癌症 癌症预防癌症 预防癌症这种癌症是癌症癌症.宫癌:子宫癌是一种癌症.子宫瘤是什么子宫瘤电子健康记录 电子健康记录人类乳头瘤病毒人类乳头瘤病毒逻辑回归的逻辑回归机器学习是机器学习.恶性恶性 恶性恶性现象映射策略 现象映射策略基于人口的基于人口的.这是一个回归回归的回归.查检查 查检查 查检查 查检查监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督瘤是一个瘤.可用性可用性可用性验证研究的验证研究.的有效性有效性.

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