### Introduction

*failure of adequate trial of two tolerated and appropriately chosen and used antiepileptic drugs (AED) schedules whether as monotherapy or combination to achieve sustained seizure freedom*”.1 It must be helpful if there is a scoring model from risk factors for predicting DRE in order to plan for appropriate treatment and counselling. Many risk factors of DRE were reported such as age onset less than 1 year old, male, abnormal electroencephalography (EEG), neurological deficits.2–5 Clinical prediction rule (CPR) is a standardized clinical tool to stratify risk by scoring, help diagnosis and predict outcome.6,7 Establishment of CPR has 4 phases as follows: (1) development by identification of predictors, (2) internal and external validation, (3) impact analysis by measurement of cost-benefit, satisfaction, (4) implementation.8 The statistical models can accommodate many more factors and is capable of taking into consideration. This prediction model has been shown to be more accurate than clinical judgment alone. Scoring systems are usually derived from multiple regression analysis. Significant factors related to the outcome in observational studies are weighted as scores using lowest beta coefficient as baseline. For clinical application, the cumulative final scores are used as the indicators of the likelihood of outcome. The accuracy of CPR can be evaluated by area under the curve of receiver-operating characteristic (AUROC) curves which inform the percentage of accuracy explained by the model. The objective of this study is to establish a clinical prediction scoring of DRE in children.