TY - JOUR
KW - Humans
KW - *Diabetes Mellitus, Type 1/diagnosis
KW - *Electronic Health Records
KW - Child
KW - *Primary Health Care
KW - *Machine Learning
KW - Adolescent
KW - Male
KW - Female
KW - *Algorithms
KW - United Kingdom
KW - Child, Preschool
KW - Infant
KW - Diabetic Ketoacidosis/diagnosis
AU - R. Daniel
AU - H. Jones
AU - J. Gregory
AU - A. Shetty
AU - N. Francis
AU - S. Paranjothy
AU - J. Townson
AD - Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
The Noah's Ark Children's Hospital for Wales, Department of Paediatric Diabetes and Endocrinology, Cardiff and Vale University Health Board, Cardiff, UK.
Primary Care Research Centre, University of Southampton, Southampton, UK.
Public Health Directorate, NHS Grampian, Aberdeen, UK.
Centre for Trials Research, Cardiff University, Cardiff, UK. Electronic address: townson@cardiff.ac.uk.
AN - 38789139
BT - Lancet Digit Health
DO - 10.1016/s2589-7500(24)00050-5
DP - NLM
ET - 2024/05/25
LA - eng
M1 - 6
N1 - 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.
PY - 2024
SN - 2589-7500
SP - e386
EP - e395
T2 - Lancet Digit Health
TI - Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm
VL - 6
ER -