首页> 外国专利> Liver cancer early the liver cancer estimate system and its control method for diagnosing (LIVERCANCERPREDICTIONSYSTEMFOREARLYDETECTIONANDCONTROLMETHODTHEREOF)

Liver cancer early the liver cancer estimate system and its control method for diagnosing (LIVERCANCERPREDICTIONSYSTEMFOREARLYDETECTIONANDCONTROLMETHODTHEREOF)

机译:肝癌早期肝癌评估系统及其诊断方法(LIVERCANCERPEDICTIONSYSTEM早期检测和控制方法)

摘要

The present invention relates to a liver cancer prediction system for early detection and control method thereof, which can perform hierarchical classification relating to a risk group for hepatocellular carcinoma, through an estimation of the incidence rate for the hepatocellular carcinoma and a relative risk of the incidence of hepatocellular carcinoma, both of which are found on an individual basis. General information on a patient, information depending on an ultrasonic test performed, clinical information including information on findings upon a first registration of a patient and information on findings upon a diagnosis of liver cancer, and information on a risk group, are stored in a database. A regression count which is an attributable ratio corresponding to each of risk factors is calculated based on the clinical information and risk group information stored in the database. An odds ratio of the incidence of liver cancer is measured by calculating risk probability of the incidence of liver cancer through a given operation process using the calculated regression count. It is thus possible to prevent the incidence of liver cancer per person depending on prediction of the incidence of liver cancer. Also hierarchical classification relating to a risk group for hepatocellular carcinomas is performed through the incidence rate for hepatocellular carcinoma and a relative risk of the incidence of liver cancer that are calculated on an individual basis. Therefore, a tailored model for prediction the incidence of liver cancer can be constructed.
机译:本发明涉及一种用于肝癌的早期检测和控制方法的肝癌预测系统,其可以通过估计肝细胞癌的发生率和发生的相对风险来进行与肝细胞癌的危险群有关的分级分类。肝细胞癌的发现,这两者都是在个体基础上发现的。有关患者的一般信息,取决于执行的超声检查的信息,包括有关患者首次注册时的发现信息和有关肝癌诊断时的发现信息的临床信息以及有关风险组的信息,这些信息存储在数据库中。基于存储在数据库中的临床信息和风险组信息,计算出作为与每种风险因素相对应的归因比率的回归计数。肝癌发生率的比值是通过使用计算出的回归计数通过给定的手术过程计算肝癌发生率的风险概率来衡量的。因此,可以根据对肝癌发生率的预测来防止人均肝癌发生率。还通过逐个计算肝细胞癌的发生率和肝癌发生的相对风险,来进行与肝细胞癌风险组有关的分级分类。因此,可以构建用于预测肝癌发生率的定制模型。

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