"Data Mining in Biomedicine: Current Applications and Further Directions for Research"
written by S. L. TING, C. C. SHUM, S. K. KWOK, A. H. C. TSANG, W. B. LEE,
published by Journal of Software Engineering and Applications, Vol.2 No.3, 2009
has been cited by the following article(s):
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[2] Chronic Kidney Disease Using Fuzzy C-Means Clustering Analysis
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[5] Data mining for the identification of metabolic syndrome status
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[6] A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining
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[7] An Efficient Predictive Model for Probability of Genetic Diseases Transmission
[8] Review of Business Intelligence and Intelligent Systems in Healthcare Domain
[9] The Era of Big Data: From Data-Driven Research to Data-Driven Clinical Care
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[10] Tracking Medicine Purchase Trends Using Data Mining
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[11] Medical Image Mining and Processing–What, Why and How?
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[12] 数据挖掘在喉癌临床研究中的应用
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[13] Tracking Medicine Purchase Trends Using Data Mining.
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[14] 4Med requirements process in E-Health applications
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[15] Quantitative population-health relationship (QPHR) for assessing metabolic syndrome
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[16] Machine Learning Techniques for Arterial Pressure Waveform Analysis
Journal of Personalized Medicine, 2013
[17] Web Information Retrieval for Health Professionals
Journal of medical systems, 2013
[18] Constrained association rules for medical data
Journal of Applied Sciences, 2012
[19] Review of Literature
[20] Evolutional Diagnostic Rules Mining for Heart Disease Classification Using ECG Signal Data
Advances in Control and Communication. Springer Berlin Heidelberg, 2012
[21] Algorithmo development for physiological signals analysis and cardiovascular disease diagnosis-a data mining approach
[22] A financial data mining model for extracting customer behavior
International Journal of Engineering Business Management, 2011
[23] Cardiovascular Attributable Risk and Risk Factors Evaluations as a Matter of Statistics and Data Mining Confluences
Risk, 2010