Objective:To construct a A medical equipment procurement decision-making model based on multi-source heterogeneous data fusion for procuring medical equipment,so as is constructed based on the fusion of multi-source heterogeneous data to enhance the efficiency of procuring equipment procurement.Methods:The multi-source heterogeneous data included technical performance,market supply and social benefits were integrated,and the XGBoost algorithm was adopted to predict the priority of equipment's cost performance,so as to construct a decision-making model of procuring medical equipment.A total of 344 medical equipment that were procured by Shanghai Chest Hospital from January 2021 to December 2024 were selected.In them,163 medical equipment that were procured during January 2021 and December 2022 were managed by using the decision-making method with subjective review,and 181 medical equipment that were procured during January 2023 to December 2024 were managed by using the management method with decision-making model.The differences of execution rate of procuring equipment,operation quality and cost control for equipment of two kinds of management methods of procurement decision-making were compared.Results:The average values of the average completion rate of procurement,shortening rate of cycle,timeliness rate of delivery and standardization rate of data of the equipment that were managed by using the management method with decision-making model were respectively(96.82±1.66)%,(24.98±8.14)%,(91.77±3.26)%and(96.66±1.81)%,all of which were higher than those of the decision-making management method with subjective review,and the differences were all statistically significant(Z=3.494,3.208,3.648,2.087,P<0.05).The average failure rate of equipment was lower than that of the decision-making management method with subjective review,and the average values of the average utilization rate,completion rate of maintenance and rate of meeting standard of risk control were all higher than those of the decision-making management method with subjective review,and the differences were statistically significant(Z=3.753,2.920,2.815,3.464,P<0.05).The average saving rates of procurement cost,reduction rates of maintenance cost,and saving rates of consumable cost of equipment were all higher than those of the decision-making management method with subjective review,and the differences were statistically significant(Z=3.408,3.464,3.926,P<0.05).Conclusion:The application of the decision-making model based on multi-source heterogeneous data fusion in procuring medical equipment can enhance the execution rate of procuring medical equipment of hospitals,and improve the operational quality of equipment,and reduce equipment's procurement costs,and promote the efficient allocation and sustainable development of medical resources of hospitals.

Objective:To construct a A medical equipment procurement decision-making model based on multi-source heterogeneous data fusion for procuring medical equipment,so as is constructed based on the fusion of multi-source heterogeneous data to enhance the efficiency of procuring equipment procurement.Methods:The multi-source heterogeneous data included technical performance,market supply and social benefits were integrated,and the XGBoost algorithm was adopted to predict the priority of equipment's cost performance,so as to construct a decision-making model of procuring medical equipment.A total of 344 medical equipment that were procured by Shanghai Chest Hospital from January 2021 to December 2024 were selected.In them,163 medical equipment that were procured during January 2021 and December 2022 were managed by using the decision-making method with subjective review,and 181 medical equipment that were procured during January 2023 to December 2024 were managed by using the management method with decision-making model.The differences of execution rate of procuring equipment,operation quality and cost control for equipment of two kinds of management methods of procurement decision-making were compared.Results:The average values of the average completion rate of procurement,shortening rate of cycle,timeliness rate of delivery and standardization rate of data of the equipment that were managed by using the management method with decision-making model were respectively(96.82±1.66)%,(24.98±8.14)%,(91.77±3.26)%and(96.66±1.81)%,all of which were higher than those of the decision-making management method with subjective review,and the differences were all statistically significant(Z=3.494,3.208,3.648,2.087,P<0.05).The average failure rate of equipment was lower than that of the decision-making management method with subjective review,and the average values of the average utilization rate,completion rate of maintenance and rate of meeting standard of risk control were all higher than those of the decision-making management method with subjective review,and the differences were statistically significant(Z=3.753,2.920,2.815,3.464,P<0.05).The average saving rates of procurement cost,reduction rates of maintenance cost,and saving rates of consumable cost of equipment were all higher than those of the decision-making management method with subjective review,and the differences were statistically significant(Z=3.408,3.464,3.926,P<0.05).Conclusion:The application of the decision-making model based on multi-source heterogeneous data fusion in procuring medical equipment can enhance the execution rate of procuring medical equipment of hospitals,and improve the operational quality of equipment,and reduce equipment's procurement costs,and promote the efficient allocation and sustainable development of medical resources of hospitals.

Nonalcoholic fatty liver disease (NAFLD) is a type of metabolic disorder syndrome of abnormal lipid deposition in hepatocytes, and with the improvement of living standards, the incidence rate of NAFLD has reached a worrying level. Several anthropometric indicators, including waist circumference, waist-hip ratio, and waist-height ratio, have been used in the evaluation of obesity and the correlation study of various metabolic diseases. This article introduces the association between NAFLD and various anthropometric indicators for obesity and points out that anthropometric indicators for obesity can be used for the prevention and control of NAFLD.