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The Application of D-S Evidence Theory in Diagnosis and Prediction of Chronic Kidney Disease

机译:D-S证据理论在慢性肾病的诊断与预测中的应用

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Now, computer science has been applied to display, store the patient's related information etc., condition diagnosis and prediction is largely dependent on the doctor. With the application of computer science to disease prediction and diagnosis, it will predict and deal with the disease, and it will reduce the wrong diagnosis and so on. This study will provide a method for chronic kidney disease (CKD),and will combine with BP neural network method and DS evidence theory algorithm to make predictions about the diagnosis of the disease; the influence of subjective factors on the prognosis of the disease was verified.
机译:现在,计算机科学已经应用于显示,存储患者的相关信息等,条件诊断和预测在很大程度上依赖于医生。随着计算机科学对疾病预测和诊断的应用,它将预测和处理疾病,并降低错误的诊断等。该研究将提供一种慢性肾病(CKD)的方法,并将与BP神经网络方法和DS证据理论算法结合,以便预测疾病的诊断;验证了主观因素对疾病预后的影响。

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