Impact of preprocessing for diagnosis of diabetes mellitus using artificial neural networks

ICMLC 2010 - The 2nd International Conference on Machine Learning and Computing

Volumn , Issue , 2010, Pages 109-112

  Jayalskshmi, T ^a   Santhakumaran, A ^b  

^a CMS College of Science and Commerce   (India)

^b Salem Sowdeswari College   (India)

Author keywords

Artificial neural networks; Back propagation method; Diabetes mellitus; Missing value analysis, pre processing methods

Indexed keywords

AREA OF INTEREST; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ACCURACY; DATA SETS; DIABETES MELLITUS; EXPERIMENTAL SYSTEM; MACHINE-LEARNING; MEDICAL DATA; MISSING VALUES; PIMA INDIAN DIABETES; PRE-PROCESSING; PRE-PROCESSING METHOD;

AUTOCORRELATION; BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); DATA FLOW ANALYSIS; LEARNING SYSTEMS; MEDICAL PROBLEMS; PROCESSING; VALUE ENGINEERING;

NEURAL NETWORKS;

EID: 77953074797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2010.65     Document Type: Conference Paper

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