Yuni Harmawati, Sapriya, Aim Abdulkarim, Prayoga Bestari, Beti Indah Sari
Data of digital literacy level measurement of Indonesian students: Based on the components of ability to use media, advanced use of digital media, managing digital learning platforms, and ethics and safety in the use of digital media
Data in brief
children presenting primary care suspected type 1 diabetes referred immediately secondary care avoid lifethreatening diabetic ketoacidosis however early recognition children type 1 diabetes challenging children might present classic symptoms symptoms might attributed common conditions quarter children present diabetic ketoacidosis proportion unchanged 25 years aim investigate whether machinelearning algorithm could lead earlier detection type 1 diabetes primary care developed predictive algorithm using welsh primary care electronic health records ehrs linked brecon dataset register children newly diagnosed type 1 diabetes children included first primary care record within study period jan 1 2000 dec 31 2016 either type 1 diabetes diagnosis turned 15 years age study end developed ensemble learner superlearner using 26 potential predictors validation algorithm done english ehrs clinical practice research datalink primary care hospital episode statistics focusing ability algorithm identify children went develop type 1 diabetes time diagnosis could anticipated development dataset comprised 34 754 400 primary care contacts relating 952 402 children validation dataset comprised 43 089 103 primary care contacts relating 1 493 328 children 1829 019 children younger 15 years development dataset 1516 010 validation dataset reliable date type 1 diabetes diagnosis set give alert 10 contacts estimated 716 95 ci 688744 children type 1 diabetes would receive alert algorithm 90 days diagnosis diagnosis anticipated average estimated 934 days 95 ci 777109 implemented primary care settings predictive algorithm could substantially reduce proportion patients newonset type 1 diabetes presenting diabetic ketoacidosis acceptability alert thresholds explored primary care diabetes uk