ANALYSIS OF VARIOUS DATA MINING TECHNIQUES TO PREDICT DIABETES MELLITUS

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DEVI M.R.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH Year:2016 | Volume:11 | Issue:1 Page(s): 727-730

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Information Journal Paper

Title

ANALYSIS OF VARIOUS DATA MINING TECHNIQUES TO PREDICT DIABETES MELLITUS

Author(s)

DEVI M.R. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

Cites

DATA MINING APPROACH BASED ON NEURAL NETWORK AND DECISION TREE METHODS FOR THE EARLY DIAGNOSIS OF RISK OF GESTATIONAL DIABETES MELLITUS

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APA: Copy

DEVI, M.R.. (2016). ANALYSIS OF VARIOUS DATA MINING TECHNIQUES TO PREDICT DIABETES MELLITUS. INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH, 11(1), 727-730. SID. https://sid.ir/paper/710857/en

Vancouver: Copy

DEVI M.R.. ANALYSIS OF VARIOUS DATA MINING TECHNIQUES TO PREDICT DIABETES MELLITUS. INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH[Internet]. 2016;11(1):727-730. Available from: https://sid.ir/paper/710857/en

IEEE: Copy

M.R. DEVI, “ANALYSIS OF VARIOUS DATA MINING TECHNIQUES TO PREDICT DIABETES MELLITUS,” INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH, vol. 11, no. 1, pp. 727–730, 2016, [Online]. Available: https://sid.ir/paper/710857/en

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