01022nas a2200385   4500000000100000000000100001000000100002008004100003653001100044653004100055653003100096653001000127653002500137653002200162653001500184653000900199653001100208653001600219653001900235653002100254653001100275653003600286100001400322700001300336700001500349700001400364700001500378700001800393700001500411245016100426250001500587300001400602490000600616020001400622       2024                            d10aHumans10a*Diabetes Mellitus, Type 1/diagnosis10a*Electronic Health Records10aChild10a*Primary Health Care10a*Machine Learning10aAdolescent10aMale10aFemale10a*Algorithms10aUnited Kingdom10aChild, Preschool10aInfant10aDiabetic Ketoacidosis/diagnosis1 aR. Daniel1 aH. Jones1 aJ. Gregory1 aA. Shetty1 aN. Francis1 aS. Paranjothy1 aJ. Townson00aPredicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm  a2024/05/25  ae386-e3950 v6  a2589-7500