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The Possibilities as a Prediction Tool for Cancer Research of Big Data: Comparison of Incidence Rate of Korean Major Male and Urologic Cancers and Trend Scores

DC Field Value Language
dc.contributor.author이주용-
dc.contributor.author조강수-
dc.contributor.author최영득-
dc.contributor.author함원식-
dc.date.accessioned2016-02-04T11:26:55Z-
dc.date.available2016-02-04T11:26:55Z-
dc.date.issued2015-
dc.identifier.issn2234-4977-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/140446-
dc.description.abstractPurpose: To examine the trend, and investigated the possibilities as a prediction tool by choosing the trend score about male and urologic cancers have the high incidence rate. Materials and Methods: We selected 5 major male and 3 major urologic cancers for past 3 years (from 2010 to 2012) and examined the incidence rate, and using Naver and Google trend, the rate of cancer incidence was compared with the trend score during the same period. Results: From 2010 to 2012, the greatest occurrence of the cancer to males was the stomach cancer, followed by colon, lung, liver, and prostate cancer. In the urologic field, the prostate cancer was the first one, followed by kidney and bladder cancer. In 2010 to 2012, the Naver trend score was 32 for stomach and colon cancers, 31 for lung cancers, 20 for liver cancers, and 19 for prostate cancers, which index were corresponded with the order of incidence rate. Though the Google trend score for prostate cancer was not found, the average was 9 for stomach cancer, 8 for colon cancer, 6 for lung cancer, 4 for liver cancer, which index were corresponded with the order of incidence rate. In 2013 and 2014, the figure of prostate cancer was grown and exceeded liver cancer. Conclusions: In the trend score, the index of the prostate cancer shows continuing increase, and, from the results, urologists should recognize the importance of the study on the prostate cancer such as management, prevention, and treatment of the prostate cancer.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageKorean Journal of Urological Oncology-
dc.publisherKorean Journal of Urological Oncology-
dc.relation.isPartOfKorean Journal of Urological Oncology-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleThe Possibilities as a Prediction Tool for Cancer Research of Big Data: Comparison of Incidence Rate of Korean Major Male and Urologic Cancers and Trend Scores-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Urology (비뇨기과학)-
dc.contributor.googleauthorDong Hyuk Kang-
dc.contributor.googleauthorKang Su Cho-
dc.contributor.googleauthorWon Sik Ham-
dc.contributor.googleauthorYoung Deuk Choi-
dc.contributor.googleauthorJoo Yong Lee-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA03161-
dc.contributor.localIdA03801-
dc.contributor.localIdA04111-
dc.contributor.localIdA04337-
dc.relation.journalcodeJ02133-
dc.identifier.eissn2233-5633-
dc.subject.keywordNeoplasms-
dc.subject.keywordUrology-
dc.subject.keywordMale-
dc.contributor.alternativeNameLee, Joo Yong-
dc.contributor.alternativeNameCho, Kang Su-
dc.contributor.alternativeNameChoi, Young Deuk-
dc.contributor.alternativeNameHam, Won Sik-
dc.contributor.affiliatedAuthorLee, Joo Yong-
dc.contributor.affiliatedAuthorCho, Kang Su-
dc.contributor.affiliatedAuthorChoi, Young Deuk-
dc.contributor.affiliatedAuthorHam, Won Sik-
dc.rights.accessRightsfree-
dc.citation.volume13-
dc.citation.number1-
dc.citation.startPage35-
dc.citation.endPage42-
dc.identifier.bibliographicCitationKorean Journal of Urological Oncology, Vol.13(1) : 35-42, 2015-
dc.identifier.rimsid29907-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers

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