Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility

被引：2
|
作者：
Meid, Andreas D. [1 ]
Gerharz, Alexander [2 ]
Groll, Andreas [2 ]
机构：
[1] Heidelberg Univ, Dept Clin Pharmacol & Pharmacoepidemiol, Neuenheimer Feld 410, D-69120 Heidelberg, Germany
[2] TU Dortmund Univ, Dept Stat, Dortmund, Germany
来源：
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY | 2022年 / 11卷 / 03期
关键词：
D O I：
10.1002/psp4.12761
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
引用
收藏
页码：257 / 261
页数：5
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