Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children

被引：0
|
作者：
Kenney Ng
Vibha Anand
Harry Stavropoulos
Riitta Veijola
Jorma Toppari
Marlena Maziarz
Markus Lundgren
Kathy Waugh
Brigitte I. Frohnert
Frank Martin
Olivia Lou
William Hagopian
Peter Achenbach
机构：
[1] IBM Research,Department of Pediatrics, PEDEGO Research Unit
[2] IBM Research,Institute of Biomedicine and Centre for Population Health Research
[3] University of Oulu and Oulu University Hospital,Department of Pediatrics
[4] University of Turku,Department of Clinical Sciences Malmö
[5] Turku University Hospital,Department of Pediatrics
[6] Lund University,Barbara Davis Center for Diabetes
[7] Kristianstad Hospital,Institute of Diabetes Research
[8] University of Colorado,undefined
[9] JDRF International,undefined
[10] Pacific Northwest Research Institute,undefined
[11] Helmholtz Zentrum München,undefined
[12] German Research Center for Environmental Health,undefined
来源：
Diabetologia | 2023年 / 66卷
关键词：
Islet autoantibody levels; Machine learning; Risk prediction models; Type 1 diabetes;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：93 / 104
页数：11
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