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Volumn , Issue , 2011, Pages

Self organizing neural network approach for identification of patients with Congestive Heart Failure

Author keywords

Congestive Heart Failure (CHF); Self Oorganizing Neural Network

Indexed keywords

CONGESTIVE HEART FAILURES; DATA SETS; LEARNING DATA; MASSACHUSETTS INSTITUTE OF TECHNOLOGY; NORMAL CONTROLS; SELF OORGANIZING NEURAL NETWORK; SELF-ORGANIZING NEURAL NETWORK; SPECTRAL FEATURE;

EID: 79961224020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMCS.2011.5945658     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 1
    • 79961220838 scopus 로고    scopus 로고
    • Heart Failure Society of America, Available
    • Heart Failure Society of America, Available: http://www.abouthf.org
  • 2
    • 33845934330 scopus 로고    scopus 로고
    • Available
    • Congestive Heart Failure, University of Maryland Medicine, Available: http://www.umm.edu
    • Congestive Heart Failure
  • 4
    • 0029928495 scopus 로고    scopus 로고
    • Heart Rate Variability, Standards of Measurements, Physiological Interpretation, and Clinical Use
    • Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology
    • Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Heart Rate Variability, Standards of Measurements, Physiological Interpretation, and Clinical Use, Circulation 93, pp. 1043-1065, 1996.
    • (1996) Circulation , vol.93 , pp. 1043-1065
  • 6
    • 70350328443 scopus 로고    scopus 로고
    • Identification of Patients with Congestive Heart Failure Using Different Neural Networks Approaches
    • N. Elfadil, A. Hossen. "Identification of Patients with Congestive Heart Failure Using Different Neural Networks Approaches". Journal of Technology and Health Care. Volume 17, Number 4 -2009. Pages 305-321.
    • (2009) Journal of Technology and Health Care , vol.17 , Issue.4 , pp. 305-321
    • Elfadil, N.1    Hossen, A.2
  • 7
    • 56649119277 scopus 로고    scopus 로고
    • Machine Learning: An Automated knowledge acquisition based on unsupervised neural network and k-means
    • Japan
    • Elfadil, N. "Machine Learning: An Automated knowledge acquisition based on unsupervised neural network and k-means" Journal of Advanced computational intelligence and intelligent informatics, Japan. Vol.9, No.6 pp. 693-697, 2005.
    • (2005) Journal of Advanced Computational Intelligence and Intelligent Informatics , vol.9 , Issue.6 , pp. 693-697
    • Elfadil, N.1
  • 9
    • 33845934330 scopus 로고    scopus 로고
    • Available
    • Congestive Heart Failure, University of Maryland Medicine, Available: http://www.umm.edu
    • Congestive Heart Failure
  • 11
    • 0029928495 scopus 로고    scopus 로고
    • Heart Rate Variability, Standards of Measurements, Physiological Interpretation, and Clinical Use
    • Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology
    • Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Heart Rate Variability, Standards of Measurements, Physiological Interpretation, and Clinical Use, Circulation 93, pp. 1043-1065, 1996.
    • (1996) Circulation , vol.93 , pp. 1043-1065
  • 12
    • 70350272253 scopus 로고    scopus 로고
    • Statistical Signal Characterization for Congestive Heart Failure Patient's Classification
    • Al Ghunaimi, B., Hossen, A. and Hassan, M.O., Statistical Signal Characterization for Congestive Heart Failure Patient's Classification, Technology and Health Care, 13, 2005, pp.1-17.
    • (2005) Technology and Health Care , vol.13 , pp. 1-17
    • Al Ghunaimi, B.1    Hossen, A.2    Hassan, M.O.3
  • 13
    • 34547199241 scopus 로고    scopus 로고
    • A new method for screening of patients with congestive heart failure
    • Hossen, A., Al Ghunaimi, B., A new method for screening of patients with congestive heart failure, Int. Journal Computational Intelligence, 3, 2004, pp.266-270.
    • (2004) Int. Journal Computational Intelligence , vol.3 , pp. 266-270
    • Hossen, A.1    Al Ghunaimi, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.