DMCA
APPLICATION OF DATA MINING TECHNOLOGY TO PREDICT MORTALITY (2002)
Citations
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(Show Context)
Citation Context ...al networks are of particular interest because they offer a means ofsefficiently modeling large and complex problems in which there may be hundredssof predictor variables that have many interactions (=-=Bigus, 1996-=-).sNeuralsnetworks may be used in classification problems (where the output is ascategorical variable) or for regression (where the output variable is continuous)s(To crows corporation, 1999).sUp to d... |
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Citation Context ...re industry as “outcomes measurements.” Outcomes measurement involvessexamining clinical encounter information, insurance claims and billing data tosmeasure the results of past treatment and process (=-=Bresnahan, 1997-=-).sBresnahan(1997) further stated that since many of the issues and problemssassociated with outcomes measurement apply to data mining, health caresproviders can identify areas of improvement or capit... |
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Citation Context ... the provider’s of thessoftware employed, put that they had not seen any problem that trainsfundamentally better with anything other than the standard sigmoid transfersfunction (California Scientific =-=Software, 1998-=-).sA mathematical description on thesdifferent functions is available in the work of Lawrence (1994).sThe formula for sigmoid function is given by:sv = (1 + e-s)-1sWhere s = sum of the inputs to the n... |
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Data Mining. Available URL: www.urbanscience.com/Data_Mining.pdf
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(Show Context)
Citation Context ... tools and models fromsstatistics, artificial intelligence, pattern recognition, heuristics, data acquisition,sdata visualization, optimization, information retrieval, high end computing, andsothers (=-=Levin and Zahavi, 1999-=-, Han and Kamber, 2001).s21sSimply stated data mining refers to extracting or “mining” knowledge from largesamounts of data (Han and Kamber, 2001).sCabena et. al. (1998) defined datasmining as “a new ... |
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