@article{11186,
  keywords = {Humans, *Diabetes Mellitus, Type 1/diagnosis, *Electronic Health Records, Child, *Primary Health Care, *Machine Learning, Adolescent, Male, Female, *Algorithms, United Kingdom, Child, Preschool, Infant, Diabetic Ketoacidosis/diagnosis},
  author = {R. Daniel and H. Jones and J. Gregory and A. Shetty and N. Francis and S. Paranjothy and J. Townson},
  title = {Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm},
  year = {2024},
  journal = {Lancet Digit Health},
  volume = {6},
  edition = {2024/05/25},
  number = {6},
  pages = {e386-e395},
  isbn = {2589-7500},
  doi = {10.1016/s2589-7500(24)00050-5},
  note = {2589-7500
Daniel, Rhian
Jones, Hywel
Gregory, John W
Shetty, Ambika
Francis, Nick
Paranjothy, Shantini
Townson, Julia
Journal Article
Validation Study
England
Lancet Digit Health. 2024 Jun;6(6):e386-e395. doi: 10.1016/S2589-7500(24)00050-5.},
  language = {eng},
}