利用大数据分析优化医院建设成本控制的机器学习模型研究

Research on Machine Learning Models for Optimizing Cost Control in Hospital Construction Using Big Data Analysis

随着信息技术的迅速发展,大数据分析和机器学习技术在医院建设成本控制中的应用日益增多。本文旨在探索如何通过大数据分析和机器学习模型来优化医院建设的成本控制流程。首先通过收集和分析历史建设项目的大量数据,识别影响成本的关键因素。其次利用机器学习算法建立预测模型,为成本控制和决策提供科学依据。最后通过实际案例验证模型的有效性。研究结果表明,应用大数据分析和机器学习模型可以有效预测和控制医院建设成本,从而为医院管理者提供更为精准的决策支持。

With the rapid development of information technology,the application of big data analysis and machine learning techniques in cost control for hospital construction is increasing.This paper aims to explore how to optimize the cost control process of hospital construction through big data analysis and machine learning models.Firstly,by collecting and analyzing a large amount of historical construction project data,the key factors affecting costs are identified.Secondly,machine learning algorithms are used to establish predictive models to provide scientific bases for cost control and decision-making.Finally,practical cases are used to verify the effectiveness of the models.The research results show that the application of big data analysis and machine learning models can effectively predict and control hospital construction costs,thereby providing more accurate decision support for hospital managers.