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Volumn 50, Issue 4, 2011, Pages 380-385

Lessons learned from data mining of WHO mortality database

Author keywords

Association analysis; Classification; Clustering; Data mining; Mortality statistics

Indexed keywords

ALGORITHM; ARTICLE; CAUSE OF DEATH; CHI SQUARE DISTRIBUTION; CLUSTER ANALYSIS; DATA BASE; DATA MINING; DECISION TREE; FACTUAL DATABASE; HUMAN; MEDICAL INFORMATICS; METHODOLOGY; MORTALITY; ORGANIZATION AND MANAGEMENT; WORLD HEALTH ORGANIZATION;

EID: 83455219630     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME10-02-0019     Document Type: Article
Times cited : (9)

References (21)
  • 5
    • 0344272247 scopus 로고    scopus 로고
    • Infant and child mortality in developing countries: Analysing the data for Robust determinants
    • Hanmer L, Lensink R, White H. Infant and child mortality in developing countries: Analysing the data for Robust determinants. Journal of Development Studies 2003; 40 (1): 101-118.
    • (2003) Journal of Development Studies , vol.40 , Issue.1 , pp. 101-118
    • Hanmer, L.1    Lensink, R.2    White, H.3
  • 6
    • 1842528390 scopus 로고    scopus 로고
    • Mortality trends and setbacks: Global convergence or divergence?
    • McMichael AJ, McKee M, Shkolnikov V, Valkonen T. Mortality trends and setbacks: global convergence or divergence? Lancet 2004; 363: 1155-1159.
    • (2004) Lancet , vol.363 , pp. 1155-1159
    • McMichael, A.J.1    McKee, M.2    Shkolnikov, V.3    Valkonen, T.4
  • 7
    • 84856234553 scopus 로고    scopus 로고
    • A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients
    • Online First, February 20, 2010
    • Patil BM, Joshi RC, Toshniwal D, Biradar S. A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients. Journal of Medical System, Online First 2010; February 20, 2010.
    • (2010) Journal of Medical System
    • Patil, B.M.1    Joshi, R.C.2    Toshniwal, D.3    Biradar, S.4
  • 10
    • 74049101497 scopus 로고    scopus 로고
    • An Outcome Discovery System to Determine Mortality Factors in Primary Care Facilities
    • Hong Kong. Association for Computing Machinery. New York; 2009
    • Murillo J, Min S. An Outcome Discovery System to Determine Mortality Factors in Primary Care Facilities. Proceeding of the third international workshop on Data and text mining in bioinformatics, 2009. Hong Kong. Association for Computing Machinery. New York; 2009. pp 95-96.
    • (2009) Proceeding of the third international workshop on Data and text mining in bioinformatics , pp. 95-96
    • Murillo, J.1    Min, S.2
  • 11
    • 84855193520 scopus 로고    scopus 로고
    • World Health Organization (cited Sep 6, Available from)
    • WHO Mortality Database (internet). World Health Organization (cited Sep 6, 2008). Available from http://www.who.int/healthinfo/morttables/en/ index.html
    • (2008) WHO Mortality Database (internet)
  • 12
    • 84855199160 scopus 로고    scopus 로고
    • (internet). World Health Organization (cited Sep 6, WHO, Available from
    • WHO. Reported information on the mortality statistics. (internet). World Health Organization (cited Sep 6, 2008). Available from http://www.who. int/healthinfo/mort2005survey/en/index.html
    • (2008) Reported information on the mortality statistics
  • 19
    • 67349267290 scopus 로고    scopus 로고
    • Introduction of affinity set and its application in data-mining example of delayed diagnosis
    • Chen YW, Larbani M, Cheng-Yen H, Chao-Wen C. Introduction of affinity set and its application in data-mining example of delayed diagnosis. Expert Systems with Applications 2009; 36: 10883-10889.
    • (2009) Expert Systems with Applications , vol.36 , pp. 10883-10889
    • Chen, Y.W.1    Larbani, M.2    Cheng-Yen, H.3    Chao-Wen, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.