Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm-Reference-Cited by-同舟云学术

Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm

Published:2024-06 Issue:6 Volume:6 Page:e386-e395
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Daniel Rhian,Jones Hywel,Gregory John W,Shetty Ambika,Francis Nick,Paranjothy Shantini,Townson Julia

Funder

Diabetes UK

Publisher

Elsevier BV

Reference23 articles.

1. Presentation to primary care during the prodrome of type 1 diabetes in childhood: a case–control study using record data linkage;Townson;Pediatr Diabetes,2019

2. Impact of the COVID-19 pandemic on long-term trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes: an international multicentre study based on data from 13 national diabetes registries;Birkebaek;Lancet Diabetes Endocrinol,2022

3. Screening for type 1 diabetes: are we nearly there yet?;Narendran;Diabetologia,2019

4. Prevalence of ketoacidosis at diagnosis of childhood onset type 1 diabetes in Wales from 1991 to 2009 and effect of a publicity campaign;Lansdown;Diabetic Medicine,2012

5. ISPAD Clinical Practice Consensus Guidelines 2018: diabetic ketoacidosis and the hyperglycemic hyperosmolar state;Wolfsdorf;Pediatr Diabetes,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The transformative role of artificial intelligence in diabetes care and research;Diabetes & Metabolism;2024-09

2. Challenges of detecting childhood diabetes in primary care;The Lancet Digital Health;2024-06