基于数据挖掘技术的决策树算法在医疗设备绩效预测中的应用

Prediction of the performance and effectiveness of medical equipments with decision-tree arithmetic based on data mining technology

研究一种基于数据挖掘技术的决策树算法在医疗设备绩效预测中的分析方法,在医疗设备购置前对其投入使用后的绩效进行预测。应用数据挖掘技术的决策树算法对HIS中的数据进行挖掘。数据挖掘过程包括数据选择导入模块、数据清理与预处理模块、数据挖掘模块、测试、评估模块、绩效预测模块。结果显示这种方法能在医疗设备购置前对其投入使用后的绩效进行较为准确的预测,并能为临床路径的研究提供具有实际意义的参考。

This study was aimed to study one kind of the prediction method of the performance and effectiveness of medical equipment with decision-tree arithmetic based on data mining technology, and predict the performance and effectiveness of medical equipment before purchase. Decision-tree arithmetic based on data mining technology was applied for the data in HIS. The mining process included data selection and import module, data cleaning and data preprocessing module, data mining module, test and evaluation module, prediction of the performance and effectiveness module. Results revealed that this method can carry on a relatively accurate prediction of the performance and effectiveness of medical equipment before the medical equipment purchase, and provide the practical references for the clinical research.