Author:
Huang Luying,Lv Wenqian,Huang Qingming,Zhang Haikang,Jin Siyuan,Chen Tong,Shen Bing
Abstract
AbstractThis study constructs a composite indicator system covering the core dimensions of medical equipment input and output. Based on this system, an innovative cone-constrained data envelopment analysis (DEA) model is designed. The model integrates the advantages of the analytic hierarchy process (AHP) with an improved criterion importance through intercriteria correlation (CRITIC) method to determine subjective and objective weights and employs game theory to obtain the final combined weights, which are further incorporated as constraints to form the cone-constrained DEA model. Finally, a bidirectional long short-term memory (Bi-LSTM) model with an attention mechanism is introduced for integration, aiming to provide a novel and practical model for evaluating the effectiveness of medical equipment. The proposed model has essential reference value for optimizing medical equipment management decision-making and investment strategies.
Funder
the Medical-Industrial Crossover Project of the University of Shanghai for Science and Technology
the Health Economic Management Research Project of China Health Economics Association Health
Publisher
Springer Science and Business Media LLC
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