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Cited by 109 publications
(60 citation statements)
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References 11 publications
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“…[26] In particular, data mining methods have been successfully applied in systems providing logistic support for DM care and treatment. [27] To date, data mining techniques have not been systematically applied for discovery of T2DM marker thresholds. However, data mining techniques are well suited for discovery of ideal cut points for HbA1c under different clinical circumstances in conjunction with other factors that may impact on the HbA1c value.…”
Section: Introductionmentioning
confidence: 99%
“…[26] In particular, data mining methods have been successfully applied in systems providing logistic support for DM care and treatment. [27] To date, data mining techniques have not been systematically applied for discovery of T2DM marker thresholds. However, data mining techniques are well suited for discovery of ideal cut points for HbA1c under different clinical circumstances in conjunction with other factors that may impact on the HbA1c value.…”
Section: Introductionmentioning
confidence: 99%
“…In support of the above, Currall and Moss argues that governments must ensure the permanent keeping of its records since it needs to account to its citizens for its administrative actions. An effective keeping of records will enable compliance with transparency requirements [4].…”
Section: Journal Of Hospital and Medical Management Issn 2471-9781mentioning
confidence: 99%
“…이러한 문제를 해결하기 위해 코호트 DB내의 의미적 연관관계를 용이하 게 검색해 줄 수 있는 통합된 대용량 검색 시스템이 필요 하다. 온톨로지 구조 [2] 를 이용하면 데이터간의 의미적 관 기존의 코호트 DB에 관한 연구로는 데이터마이닝 기 법을 이용한 당뇨병 치료분석 [4] , 어린이의 성장예측인자 식별연구 [5] , 건강보험 재정추계 [6] , 대기오염의 건강영양평 가 [7] , MeSH tree를 이용한 건강 측정 [8] , 빅데이터를 이용 하여 건강정보를 측정 [9] 하는 등 다양한 방면의 연구가 진 행되어 왔다. Abdullah A. Aljumah et al 건강보험공단 코호트 DB를 이용한 재정추계 [6] 에서는 건강보험공단의 지출과 수입 두 가지 경제변수를 사용하 여 2060년까지의 건강보험 재정추계를 하였다.…”
Section: 서 론unclassified