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dc.contributor.authorSilahtaroğlu, Gökhan
dc.contributor.authorYılmaztürk, Nevin
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:35:33Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:35:33Z
dc.date.issued2021en_US
dc.identifier.citationSilahtaroğlu, G. ve Yılmaztürk, N. (2021). Data analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaints. Communications in Statistics - Theory and Methods, 50(7), 1547-1556. https://dx.doi.org/10.1080/03610926.2019.1622728en_US
dc.identifier.issn0361-0926
dc.identifier.urihttps://hdl.handle.net/20.500.12511/838
dc.identifier.urihttps://dx.doi.org/10.1080/03610926.2019.1622728
dc.description.abstractThe emergence of big data made it possible to make better predictions and discover hidden patterns which contain a load of useful information. Like other domains, health discipline is also enjoying this new data science era. In this study, we suggest some big data sources for health sector, draw a big data framework in health, and we present a machine learning pre-diagnosis model for emergency departments. The system predicts the diagnosis with a minimum accuracy of 75.5%. Patients’ verbal complaints about their own situations are used for machine learning. Two different models, Probabilistic Neural Network based on the Dynamic Decay Adjustment and Random Forest Decision Tree, have been used for machine learning after a series of text mining processes. Although there are other studies to predict diagnosis, this study is probably the first one using patients’ natural verbal complaints as user generated data. Both models’ accuracy and precision statistics suggest that they can be used as a decision support system to direct emergency department patients to appropriate healthcare centers. The system may also be developed into a triage prediction model at emergency departments.en_US
dc.language.isoengen_US
dc.publisherTaylor and Francis Inc.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectBig Dataen_US
dc.subjectDiagnosisen_US
dc.subjectMachine Learningen_US
dc.subjectPatients’ Complaintsen_US
dc.subjectText Miningen_US
dc.titleData analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaintsen_US
dc.typearticleen_US
dc.relation.ispartofCommunications in Statistics - Theory and Methodsen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.authorid0000-0001-8863-8348en_US
dc.identifier.volume50en_US
dc.identifier.issue7en_US
dc.identifier.startpage1547en_US
dc.identifier.endpage1556en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1080/03610926.2019.1622728en_US
dc.identifier.wosqualityQ4en_US
dc.identifier.scopusqualityQ3en_US


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