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Volumn 40, Issue 11, 2013, Pages 4672-4678

Analysis of diabetic patients through their examination history

Author keywords

Cluster analysis; Data mining; Diabetes; Patient examination history

Indexed keywords

ANALYSIS FRAMEWORKS; CLUSTERING TECHNIQUES; EXPERIMENTAL VALIDATIONS; HEALTH-CARE SYSTEM; HEALTHCARE ORGANIZATIONS; PATIENT EXAMINATION; VARIABLE DISTRIBUTION; VECTOR SPACE MODELS;

EID: 84876048025     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.02.006     Document Type: Article
Times cited : (36)

References (26)
  • 5
    • 85170282443 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Knowledge discovery and data mining (KDD) (pp. 226-231).
    • (1996) Knowledge Discovery and Data Mining (KDD) , pp. 226-231
    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Xu, X.4
  • 7
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D.H. Fisher Knowledge acquisition via incremental conceptual clustering Machine Learning 2 1987 139 172
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 9
    • 0003505985 scopus 로고    scopus 로고
    • International classification of diseases
    • ICD-9-CM Accessed March, 2011
    • ICD-9-CM. (2011). International classification of diseases, Ninth revision, Clinical modification. . Accessed March, 2011.
    • (2011) Ninth Revision, Clinical Modification
  • 14
    • 80052236483 scopus 로고    scopus 로고
    • Application of a unified medical data miner (umdm) for prediction, classification, interpretation and visualization on medical datasets: The diabetes dataset case
    • Springer-Verlag Berlin, Heidelberg
    • N. Mohamudally, and D.M. Khan Application of a unified medical data miner (umdm) for prediction, classification, interpretation and visualization on medical datasets: The diabetes dataset case International conference on advances in data mining: Applications and theoretical aspects (ICDM) 2011 Springer-Verlag Berlin, Heidelberg 78 95
    • (2011) International Conference on Advances in Data Mining: Applications and Theoretical Aspects (ICDM) , pp. 78-95
    • Mohamudally, N.1    Khan, D.M.2
  • 15
    • 0038646956 scopus 로고    scopus 로고
    • Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke
    • S. Mulroy, J. Gronley, W. Weiss, C. Newsam, and J. Perry Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke Gait Posture 18 2003 114 125
    • (2003) Gait Posture , vol.18 , pp. 114-125
    • Mulroy, S.1    Gronley, J.2    Weiss, W.3    Newsam, C.4    Perry, J.5
  • 18
  • 20
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • P.J. Rousseeuw Silhouettes: A graphical aid to the interpretation and validation of cluster analysis Computational and Applied Mathematics 1987 53 65
    • (1987) Computational and Applied Mathematics , pp. 53-65
    • Rousseeuw, P.J.1
  • 22
    • 33745156179 scopus 로고    scopus 로고
    • Clinical pathways for fractured neck of femur: A cohort study of health related quality of life, patient satisfaction and clinical outcome
    • N. Santamaria, L. Houghton, A. Kimmel, and L. Graham Clinical pathways for fractured neck of femur: A cohort study of health related quality of life, patient satisfaction and clinical outcome Australian Journal of Advanced Nursing 20 2003 24 29
    • (2003) Australian Journal of Advanced Nursing , vol.20 , pp. 24-29
    • Santamaria, N.1    Houghton, L.2    Kimmel, A.3    Graham, L.4
  • 26
    • 81855164880 scopus 로고    scopus 로고
    • Clinical charge profiles prediction for patients diagnosed with chronic diseases using multi-level support vector machine
    • W. Zhong, R. Chow, and J. He Clinical charge profiles prediction for patients diagnosed with chronic diseases using multi-level support vector machine Expert Systems with Applications 39 2012 1474 1483
    • (2012) Expert Systems with Applications , vol.39 , pp. 1474-1483
    • Zhong, W.1    Chow, R.2    He, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.