ŞEHİR e-arşiv

Using predictive analytics to identify drug-resistant epilepsy patients

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dc.contributor.author Delen, Dursun
dc.contributor.author Davazdahemami, Behrooz
dc.contributor.author Eryarsoy, Enes
dc.contributor.author Tomak, Leman
dc.contributor.author Valluru, Abhinav
dc.date.accessioned 2019-06-11T08:09:20Z
dc.date.available 2019-06-11T08:09:20Z
dc.date.issued 2019
dc.identifier.issn 1460-4582
dc.identifier.uri https://uk.sagepub.com/en-gb/eur/journals-permissions
dc.identifier.uri http://hdl.handle.net/11498/56219
dc.description.abstract Epilepsy is one of the most common brain disorders that greatly affects patients’ quality of life and poses serious risks to their health. While the majority of the patients positively respond to the existing anti-epilepsy drugs, others who developed the refractory type of epilepsy show resistance against drug therapy and need to undergo advance treatments such as surgery. Given that identifying such patients is not a straightforward process and requires long courses of trial and error with anti-epilepsy drugs, this study aims at predicting those at-risk patients using clinical and demographic data obtained from electronic medical records. Specifically, the study employs several predictive analytics machine-learning methods, equipped with a novel approach for data balancing, to identify drug-resistant patients using their comorbidities and demographic information along with the initial epilepsy-related diagnosis made by their physician. The promising results we obtained highlight the potential use of machine-learning techniques in facilitating medical decisions and suggest the possibility of extending the proposed approach for developing a clinical decision support system for medical professionals. en_US
dc.language.iso eng en_US
dc.publisher SAGE en_US
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject Anti-Epileptic Drugs en_US
dc.subject Drug Resistance en_US
dc.subject Epilepsy en_US
dc.subject Machine Learning en_US
dc.subject Anti-Epileptik İlaçlar en_US
dc.subject İlaç Direnci en_US
dc.subject Epilepsi en_US
dc.subject Makine Öğrenimi en_US
dc.subject.other Article in Press en_US
dc.title Using predictive analytics to identify drug-resistant epilepsy patients en_US
dc.type Other en_US
dc.contributor.authorID 263172 en_US
dc.contributor.authorID 115624 en_US
dc.contributor.authorID 110683 en_US
dc.relation.journal Health Informatics Journal en_US


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