Evaluation Method of Residents’ Satisfaction with Healthcare Consumption Based on Data Mining and Knowledge Mapping

Residents’ healthcare consumption involves many aspects such as residents’ expectations, medical institutions’ reputation, and residents’ trust, resulting in a large difference between the evaluation results and the actual value, and low residents’ satisfaction. Therefore, a method for evaluating residents’ satisfaction with healthcare consumption based on data mining and knowledge mapping is proposed. Under the framework and connotation of evaluation indicators, the evaluation indicator system of residents’ satisfaction with healthcare consumption is constructed to obtain evaluation indicators; the AHP method was used to calculate the weight of the above indicators of residents’ satisfaction with healthcare consumption; combined with the index weight, the improved hierarchical clustering method in data mining is used to cluster the evaluation indexes of residents’ satisfaction with healthcare consumption; according to the clustering results, an evaluation model was built through the knowledge map to evaluate the residents’ satisfaction with healthcare consumption. The experimental results show that the evaluation value of residents’ satisfaction with healthcare consumption is basically consistent with the actual value, and residents’ satisfaction is high.