作者: Lamia AbedNoor Muhammed
DOI: 10.1109/ICSSBE.2012.6396533
关键词:
摘要: Medical diagnose is a promise application that exploits data mining techniques. The physicist diagnose, represented by human expertise, can be incurrence to fail. In contrast the recruit extracted knowledge from huge of clinical though and produce predictive model, use classification task achieve diagnostic. Different methods exist in this field, classifier. One them naive bays. paper, we will present discuss experiment was executed with bayes technique order built model as an artificial for heart disease based on set which contains parameters were measured individuals previously. Then compare results other techniques according using same given UCI repository data.