Medicais: Intelligent Prediction of Medication Non-Adherence and Intervention System
Keywords:
adherence intervention, ANFIS prediction, medication non-adherence, patient’s non-clinical dataset,Abstract
patient’s non-adherence to medication has been widely recognized as one of the major problems in healthcare domain worldwide. The prevalent of the problem and its great consequences call for a combined effort towards the development of efficient adherence intervention system. in this study, development of web based intelligent prediction of patient’s non-adherence to medication and intervention system called imedicais was proposed to improve medication adherence. with imedicais, three independent sub-systems consist of anfis predictive model, assessment of medication non-adherence level and adherence intervention were integrated for prediction of non-adherent patients, evaluation of medication non-adherence level with its causes and delivery of personalized persuasive messages to individual patient respectively. outpatients’ non-clinical dataset of 609 records was generated through a validated questionnaire-based survey administered at three tertiary healthcare centres in the south east region of nigeria for the training and testing of the anfis predictive model. for the computation of patient’s adherence level and other factors that influence non-adherence, an emulator sub-system was design. knowing the patient’s level of non-adherence and the factors that influence it either by prediction or assessment, the system send personalized persuasive messages to the patient as intervention towards improving medication adherence. the intelligent web-based application with integration of sms, ussd and agent voice call api were implemented using visual studio dot net framework, matlab r2020a programming language, twilio and africa’s talking apis and other web services. the proposed system could greatly improve patient’s adherence to medication as it has the potential to accurately identify patients who are unlikely to adhere to their prescribed medication with likely causes of their non-adherence and deliver an appropriate persuasive message that can influence medication adherence behavior.
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