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乳腺癌分子亚型的时间相关生存预测使用基于事件时间的深度学习模型

Saba Zarean Shahraki1, Mehdi Azizmohammad Looha2, Pooya Mohammadi Kazaj3

  • 1Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Frontiers in oncology
|June 21, 2023
PubMed
概括

使用深度学习模型预测乳腺癌存活率显示,Luminal A亚型的存活概率最高,而三阴性和HER2丰富亚型的存活概率最低. 关键预测因素包括瘤状况,年龄和淋巴结状况.

关键词:
人工智能在乳腺癌中的应用乳腺癌分子亚型 乳腺癌分子亚型乳腺癌的生存率预测和预测.深度学习的生存模型.重要的特征 重要的特征 重要的特征生存分析,生存分析.生存预测模型的生存预测模型时间到事件的机器学习模型.

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