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A algorithm hybrid model of Bayesian for detection performance in unhealthy lifestyle

机译:不健康生活方式检测性能的贝叶斯算法混合模型

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This study was conducted to see the trend of diseases caused by unhealthy lifestyles in underserved communities and coastal villages around Gresik and Tuban by using a hybrid algorithm through the Bayesian Network structure construction. The purpose of this study is to produce a software model that is able to detect early disease risk propensity lagging rural and coastal communities who have an unhealthy lifestyle in the form of construction of structures and produces a probability value with disease. The validity of that people have a tendency to smoke will experience disease Tuberculosis, Bronchitis or Lung Cancer through the test system is 75% to 95%.
机译:通过使用贝叶斯网络结构构建的混合算法,进行了这项研究,以了解在Gresik和Tuban附近服务不足的社区和沿海村庄中由不良生活方式引起的疾病趋势。这项研究的目的是产生一个软件模型,该软件模型能够检测滞后于农村和沿海社区的早期疾病风险倾向,这些农村居民和农村社区以建筑结构的形式生活着不健康的生活方式,并产生疾病的概率值。通过测试系统,人们倾向于吸烟会经历结核病,支气管炎或肺癌的有效性为75%至95%。

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