Stanford University, Department of Genetics, Stanford, California, United States of America.
PLoS Biol. 2021 Mar 11;19(3):e3001092. doi: 10.1371/journal.pbio.3001092. eCollection 2021 Mar.
In a response to a Formal Comment critiquing their model for classifying individualized glucose patterns into glucotypes, these authors stand by their results and conclusions, which can be reproduced using their publicly available data, and maintain that improved algorithms for analyzing CGM data will continue to emerge and enrich the field.
在对批评其个体化血糖模式分类模型的正式评论的回应中,这些作者坚持他们的结果和结论,这些结果和结论可以使用他们公开提供的数据重现,并且认为用于分析 CGM 数据的改进算法将继续出现并丰富该领域。