First, create a prediction model based on the heart table that allows you to predict heart disease risks for patients.
首先,基于heart表创建一个预测模型,通过该模型可以预测病人患上心脏病的风险。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
提出了两种类型负荷预报模型,基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
Objective to determine whether adding CACS to a prediction model based on traditional risk factors improves classification of risk.
目的:以确定增加冠状动脉钙评分到建立在传统危险因素预测模型中是否可以改善危险分级。
应用推荐