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通过使用风险因素查卵巢癌:机器学习协助

Raoof Nopour1

  • 1Department of Health Information Management, Student Research Committee, School of Health Management and Information Sciences Branch, Iran University of Medical Sciences, Tehran, Iran. raoof.n1370@gmail.com.

Biomedical engineering online
|February 12, 2024
PubMed
概括

机器学习模型可以有效地选高风险卵巢癌 (OC) 群体. XG-Boost算法展示了最高的预测准确性,为早期检测和预防策略提供了一个有前途的工具.

关键词:
机器学习是机器学习.卵巢癌是发生在卵巢中的癌症.预测效率可以预测效率.预防策略 预防策略公共卫生挑战 公共卫生挑战

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