肾脏疾病
计算机科学
疾病
肾
医学
慢性肾功能衰竭
考试(生物学)
人工智能
机器学习
数据挖掘
重症监护医学
内科学
生物
古生物学
作者
Thomas A. Gerds,Pietro Ravani
出处
期刊:
日期:2024-04-15
卷期号:: q721-q721
被引量:1
摘要
The risk prediction model for kidney failure and death in people with chronic kidney disease (CKD) presented in the linked study is a super learner. A super learner is an algorithm that repeatedly splits the data into training and test sets and then chooses the best performing model from a list of candidate prediction models. This article describes why and how the super learner was implemented in the linked study.
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