Recent applications of data mining in medical diagnosis and prediction

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dc.authorid0000-0002-5971-9218
dc.authorid0000-0001-8359-5713
dc.authorid0000-0001-8863-8348
dc.contributor.authorDoğuç, Özge
dc.contributor.authorCanbolat, Zehra Nur
dc.contributor.authorSilahtaroğlu, Gökhan
dc.date.accessioned2022-09-23T08:38:36Z
dc.date.available2022-09-23T08:38:36Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümü
dc.description.abstractBig data has been used in the health sector to improve the quality of life, predict epidemics, cure diseases, and avoid preventable deaths, beyond increasing profits or reducing the burden of excess labor. Data sources in healthcare have become quite diversified and accessible to individuals, such as wearable and implantable devices, smartphones, and real-time sensors. When combined with existing health data, daily (even instantaneous) data from these devices can be used to predict future health conditions of individuals and to identify necessary intervention points. This chapter discusses a number of recent studies that introduces methods for using big data to create intelligent systems for patient diagnosis, triage, predicting lab results, and even detecting tumors. These studies open ways for researchers in the healthcare sector to improve the quality of services provided to the patients as well as reducing costs for the healthcare institutions.
dc.identifier.citationDoğuç, Ö., Canbolat, Z. N. ve Silahtaroğlu, G. (2022). Recent applications of data mining in medical diagnosis and prediction. Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications içinde (95-109. ss.). Elsevier. http://doi.org/10.1016/B978-0-323-91907-4.00006-6
dc.identifier.doi10.1016/B978-0-323-91907-4.00006-6
dc.identifier.endpage109
dc.identifier.isbn9780323919074
dc.identifier.isbn9780323985161
dc.identifier.scopus2-s2.0-85137597714
dc.identifier.scopusqualityN/A
dc.identifier.startpage95
dc.identifier.urihttp://doi.org/10.1016/B978-0-323-91907-4.00006-6
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9741
dc.indekslendigikaynakScopus
dc.institutionauthorDoğuç, Özge
dc.institutionauthorCanbolat, Zehra Nur
dc.institutionauthorSilahtaroğlu, Gökhan
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofBig Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applicationsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBig Data
dc.subjectData Mining
dc.subjectHealth Sector
dc.subjectIntelligent Medical Diagnosis Systems
dc.titleRecent applications of data mining in medical diagnosis and prediction
dc.typeBook Chapter

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