Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods
Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This t...
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Format: | Others |
Language: | English |
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Högskolan Dalarna, Datateknik
2010
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:du-20790 |