乳腺癌
医学
四分位间距
癌症登记处
置信区间
队列
人口
比例危险模型
癌症
队列研究
机器学习
内科学
计算机科学
环境卫生
作者
Ash Kieran Clift,David Dodwell,Simon Lord,Stavros Petrou,Michael Brady,Gary S. Collins,Julia Hippisley–Cox
出处
期刊:
日期:2023-05-10
卷期号:381: e073800-e073800
被引量:85
标识
DOI:10.1136/bmj-2022-073800
摘要
In women with breast cancer of any stage, using the predictors available in this dataset, regression based methods had better and more consistent performance compared with machine learning approaches and may be worthy of further evaluation for potential clinical use, such as for stratified follow-up.
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