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APPARATUS AND METHOD FOR PREDICTING DISEASE RISK OF CHRONIC KIDNEY DISEASE

机译:预测慢性肾脏病疾病风险的装置和方法

摘要

The present application relates to a device for predicting the disease risk of chronic kidney disease, the device for predicting the disease risk of chronic kidney disease is inputted by the genetic information of the diseased person of the chronic kidney disease and the disease risk of the chronic kidney disease, Gene information machine learning model generation unit for generating a gene information machine learning model for learning the degree of the relationship between the genetic information and the disease risk of chronic kidney disease, core gene information from the genetic information using the genetic information machine learning model The core gene information selection unit for selecting a plurality of state variables including the living state variables and health state variables of the sick of the chronic kidney disease, the key genetic information and the disease risk of the chronic kidney disease as input, At least one of state variables and key genetic information Disease risk machine learning model for generating a disease risk machine learning model for learning the degree of the relationship between the disease risk of the chronic kidney disease, information input unit for receiving the subject state variable and subject gene information of the subject and the disease risk machine It may include a disease risk prediction unit for predicting the subject disease risk of the subject by applying the subject state variable and subject gene information of the subject to a learning model.
机译:本发明涉及一种慢性肾脏病的疾病风险预测装置,该慢性肾脏病的疾病风险预测装置是通过慢性肾脏病的患病者的遗传信息和慢性肾脏病的疾病风险输入的。肾脏疾病,基因信息机器学习模型生成单元,用于生成基因信息机器学习模型,用于学习遗传信息与慢性肾脏疾病的疾病风险之间的关系程度,使用遗传信息机器从遗传信息中获取核心基因信息学习模型核心基因信息选择单元,用于选择多个状态变量,包括慢性肾脏病患者的生存状态变量和健康状态变量,关键遗传信息和慢性肾脏病的疾病风险作为输入,At状态变量和关键遗传信息中的至少一个D疾病风险机器学习模型,用于生成疾病风险机器学习模型,用于学习慢性肾脏疾病的疾病风险之间的关系程度,用于接收受试者状态变量和受试者基因信息的信息输入单元以及疾病风险机器可以包括疾病风险预测单元,该疾病风险预测单元用于通过将受试者的受试者状态变量和受试者的受试者基因信息应用于学习模型来预测受试者的受试者疾病风险。

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