Growing importance of data-mining methods to select dosimetric/clinical variables in predictive models of toxicity

被引：0
|
作者：
Rancati, T. [1 ]
机构：
[1] Fdn IRCCS Ist Nazl Tumori, Prostate Canc Program, Milan, Italy
来源：
RADIOTHERAPY AND ONCOLOGY | 2016年 / 119卷
关键词：
D O I：
10.1016/S0167-8140(16)31559-6
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
SP-0310
引用
收藏
页码：S144 / S144
页数：1
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