Abstract
In order to improve the weight calculation accuracy of hospital informatization level evaluation and shorten the evaluation time, a research method of hospital informatization level evaluation model based on the decision tree algorithm is proposed. Using the decision tree algorithm combining fuzzy theory and ID3, the decision tree is constructed to analyze the hospital information data. By means of questionnaire survey, expert experience, mathematical statistics, and in-depth interview, information facilities construction, information resources construction, information scientific research application, management information, and information guarantee are selected as the nodes of the decision tree to evaluate the hospital information level. Construct the structural equation model, standardize the data, extract the weight of each evaluation index, and complete the evaluation of hospital informatization level. The experimental results show that the weight calculation results of this method are basically consistent with the actual results, and the evaluation efficiency is improved.
Highlights
With the continuous development of modern information technology, the informatization level of daily operation and management of the hospital has been continuously improved
Leaf node method, known as “hard modeling,” represented by the method, and the other is the variance analysis method based on the partial least-squares method, known as “soft modeling,” which is proposed in the structural equation model
Evaluation Model of Hospital Informatization Level. e evaluation model of hospital informatization level is shown in Figure 4. e description of each variable in Figure 4 is shown in
Summary
Research on Evaluation Model of Hospital Informatization Level Based on Decision Tree Algorithm. In order to improve the weight calculation accuracy of hospital informatization level evaluation and shorten the evaluation time, a research method of hospital informatization level evaluation model based on the decision tree algorithm is proposed. Using the decision tree algorithm combining fuzzy theory and ID3, the decision tree is constructed to analyze the hospital information data. By means of questionnaire survey, expert experience, mathematical statistics, and in-depth interview, information facilities construction, information resources construction, information scientific research application, management information, and information guarantee are selected as the nodes of the decision tree to evaluate the hospital information level. Construct the structural equation model, standardize the data, extract the weight of each evaluation index, and complete the evaluation of hospital informatization level. Construct the structural equation model, standardize the data, extract the weight of each evaluation index, and complete the evaluation of hospital informatization level. e experimental results show that the weight calculation results of this method are basically consistent with the actual results, and the evaluation efficiency is improved
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