Clustering of Phentermine HCL Drug from Online Patient Medication Reviews

dc.authorscopusid 6505872114
dc.authorscopusid 57210928462
dc.contributor.author Yildirim, Pinar
dc.contributor.author Kaya, Alkan
dc.date.accessioned 2024-05-25T11:40:37Z
dc.date.available 2024-05-25T11:40:37Z
dc.date.issued 2019
dc.department Okan University en_US
dc.department-temp [Yildirim, Pinar] Istanbul Okan Univ, Fac Engn, Dept Comp Engn, Istanbul, Turkey; [Kaya, Alkan] Rmg Petrol Urunleri Dagitim AS, Istanbul, Turkey en_US
dc.description.abstract In this paper, a study to reveal hidden knowledge in the online patient medication reviews for phentermine HCL is presented. Phentermine HCL is used most frequently in the treatment of obesity. Obesity is a complex health disorder that affects huge amount of people. In recent years, the number of overweight people in industrialized countries has increased significantly and people who are obese are at a much higher risk for serious medical conditions such as high blood pressure, heart attack, stroke and diabetes. Considering the importance of the medication of obesity, knowledge discovery from online patient reviews is performed. Some information technologies and data mining techniques are used to discover some hidden knowledge between patient information and side effects in these reviews. Our results can give new ideas to medical researchers and pharmaceutical industry for drug safety. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1016/j.procs.2019.04.163
dc.identifier.endpage 1151 en_US
dc.identifier.issn 1877-0509
dc.identifier.scopus 2-s2.0-85071911005
dc.identifier.scopusquality Q2
dc.identifier.startpage 1146 en_US
dc.identifier.uri https://doi.org/10.1016/j.procs.2019.04.163
dc.identifier.uri https://hdl.handle.net/20.500.14517/1452
dc.identifier.volume 151 en_US
dc.identifier.wos WOS:000577067400158
dc.institutionauthor Kaya A.
dc.institutionauthor Yıldırım, Pınar
dc.institutionauthor Kaya, Ayşe Demet
dc.language.iso en
dc.publisher Elsevier en_US
dc.relation.ispartof 10th International Conference on Ambient Systems, Networks and Technologies (ANT) / 2nd International Conference on Emerging Data and Industry 4.0 (EDI40) -- APR 29-MAY 02, 2019 -- Leuven, BELGIUM en_US
dc.relation.ispartofseries Procedia Computer Science
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 0
dc.subject Biomedical Data Mining en_US
dc.subject clustering en_US
dc.subject k-means algorithm en_US
dc.subject drug side effects en_US
dc.subject WebMD en_US
dc.title Clustering of Phentermine HCL Drug from Online Patient Medication Reviews en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0

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