基于提升树的卫生数据价值模型的构建与应用

Construction and Application of Data Asset Value Evaluation System Based on Gradient Boosting Tree

针对卫生数据资产未得到合理评估的问题,本研究提出一整套基于梯度提升树的数据资产价值评估体系。选取来自卫生领域的183项数据集作为样本,选取10个评估维度作为特征,结合机器学习技术,选用梯度提升树作为预测模型,其校正决定系数为0.869,模型稳定性为0.001。本研究还对模型的实际应用效果进行了验证,证明其对于卫生数据的精细化管理和智慧建设具有一定作用。

In view of the problem that data assets have not been reasonably evaluated,a set of data assets value evaluation system based on gradient boosting tree is proposed in this study.And 183 data sets from health field were selected as samples,10 evaluation dimensions were selected as features.Combined with machine learning technology,gradient lifting tree was finally selected as prediction model.The correction decision coefficient was 0.869,and the model stability was 0.001.This study also verified the performance of the model in the actual application effect,proving that the model has a certain role in the fine management and intelligent construction of health data.