作者: Mai Shouman , Tim Turner , Rob Stocker
DOI: 10.1109/JEC-ECC.2012.6186978
关键词: Cause of death 、 Health care 、 Medicine 、 Disease 、 Analysis tools 、 Patient diagnosis 、 Heart disease 、 Patient treatment 、 Statistical analysis 、 Data mining
摘要: The availability of huge amounts medical data leads to the need for powerful analysis tools extract useful knowledge. Researchers have long been concerned with applying statistical and mining improve on large sets. Disease diagnosis is one applications where are proving successful results. Heart disease leading cause death all over world in past ten years. Several researchers using help health care professionals heart disease. Using single technique has comprehensively investigated showing acceptable levels accuracy. Recently, investigating effect hybridizing more than enhanced results However, techniques identify a suitable treatment patients received less attention. This paper identifies gaps research proposes model systematically close those discover if can provide as reliable performance that achieved diagnosing