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首页> 外文期刊>International Journal of Computer Science Engineering and Information Technology Research >KNOWLEDGE BASED EXPERT SYSTEM FOR MEDICAL DISEASE DIAGNOSIS
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KNOWLEDGE BASED EXPERT SYSTEM FOR MEDICAL DISEASE DIAGNOSIS

机译：基于知识的医学疾病诊断专家系统

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In the domain of Medicine, prediction of various diseases in earlier stage is very much important nowadays. As we all aware about that most of the villages have lesser hospitals in their areas so, to provide a good medical prescription becomesverydifficult.Duetosomeenvironmentalconditionlikesmoking anddrinking,peoplesufferfrommanyhealth related issues. We can also observe a huge and long queue in all nearby hospitals. Recently, most common diseases, for example lung cancer, pneumonia, bronchitis (acute inflammation of the bronchial tubes), breast cancer etc. are gradually increasing and causing serious health issues to the people. Also smoking, bad immune system and all these common causes which can be risk factors of various diseases also play big role in causing these diseases. All the developing countries facing this issue now plan how a good hospital and medical services can be provided to their country people with minimum time and cost. And by avoiding long queue of patients from hospitals. This paper describes our work towards a model of Medical Expert Diagnosis System Which uses Bayesian network for probabilisticreasoningandalsousedartificialneuraInetworktopredictvariousdisease.Hence,wepresentedprogress of our work in disease diagnosis via two different methods.
机译：在医学领域，现在，预测早期阶段的各种疾病是非常重要的。众所周知，大多数村庄在其领域都有较小的医院，所以提供了一个良好的医疗处方才能变化.DuetosomeenvironmentalconditionLikesMokesMoking和乳房，PeoplesufferfrommanyHealth相关的问题。我们也可以在附近的所有医院观察一个巨大而长的队列。最近，最常见的疾病，例如肺癌，肺炎，支气管炎（支气管的急性炎症），乳腺癌等逐渐增加并对人民造成严重的健康问题。也吸烟，不良免疫系统和所有这些常见的原因可能是各种疾病的风险因素也在导致这些疾病方面发挥着重要作用。所有发展中国家面临这个问题的现在计划如何向其国家人民提供良好的医院和医疗服务，以最短的时间和成本提供。并通过避免医院患者的长队列。本文介绍了我们对医学专家诊断系统模型的工作，该系统利用贝叶斯网络用于探测器探测器术，术前术术术，令人生畏，我们通过两种不同方法在疾病诊断中的WepresentedProgress。

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