Attribute Hierarchical Model Research Articles

Establishment and application of drug utilization evaluation applying the weighted TOPSIS method: A study based on real-world data of tislelizumab.

How to comprehensively evaluate the rationality of drug use is a challenging issue. To establish the evaluation index of the effective use of tislelizumab, so as to ensure its higher rationality and normalization in clinical application. Based on the indications, drug instructions, and relevant guidelines of the National Basic Medical Insurance Restriction Catalogue, a retrospective analysis and evaluation of 286 cases of using tislelizumab injection in our hospital from January to December 2022 were conducted using the weighted technique for order of preference by similarity to ideal solution (TOPSIS) method. Among the 286 medical records evaluated, the main irrational manifestations were inappropriate indications (90 cases, 31.47%), auxiliary examination and laboratory examination did not meet the minimum requirements of combination chemotherapy drugs (40 cases, 13.99%), the drug course was not standard (39 cases, 13.64%). Among the included cases, 57.34% were reasonable cases (Ci⩾ 0.8), 10.84% were basic reasonable cases (0.6 ⩽Ci< 0.8), and 31.82% were unreasonable cases (Ci< 0.6). The TOPSIS method, with its attribute hierarchical model (AHM)-weighted approach, can be employed as the rational assessment technique for the injection of tislelizumab. The clinical application of tislelizumab in our hospital is still insufficient, which needs to be further improved management.

Establishment of quality evaluation criteria for out-patient medical records of cancer pain and assessment of its application effect

Objective: To establish the quality evaluation criteria for out-patient medical records of cancer pain and evaluate the effect of its application. Methods: The evaluation criterion was established based on Delphi method for out-patient medical records of cancer pain in the Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University. Firstly, the weight of each evaluation indicator was calculated by the method of Attribute Hierarchical Model in combination with technique for order preference by similarity to solution (AHM-TOPSIS), and out-patient medical records of 50 cancer pain patients (group A, 150 records) received in June 2020 were assessed comprehensively. Secondly, the relative closeness (Ci value) between the writing quality and the ideal solution was calculated, as well as the proportion of evaluation indicators which were lack of standardization. Thirdly, the corresponding countermeasures were adapted based on the results of assessment. Finally, another 50 medical records (156 records) received in October 2021 were re-evaluated by the same method, and the differences of quality of medical record and proportion of each evaluation indicator which was lack of standardization before and after the intervention were compared. Results: A specific criterion which contained integrity of materials required for the medical records, documents of the complaints and medical history of cancer pain, description of the previous medical treatment for cancer pain, regular assessment of cancer pain and its' document, quantitative assessment and its' document, comprehensive assessment and its' document, dynamic assessment and its' document, reasonable of pain medication, reasonable of the drug usage and dosage, reasonable adjustment of the drug variety or dosage, prevention of adverse reactions of analgesic drugs and its' document, evaluation and management of adverse reactions of analgesic drugs and its' document (12 indicators) was established to evaluate the out-patient medical records of cancer pain. The proportion of medical records which Ci≥0.6 was 62.0% (93/150) in group A before the intervention. It was increased to 84.6% (132/156) in group B after the intervention and the difference was statistically significant (P<0.001). Furthermore, the proportions of comprehensive assessment of cancer pain which were lack of standardization, prevention of adverse reaction, quantitative evaluation and dynamic assessment of cancer pain accounted for a higher level, which was 64.0% (96/150), 55.3% (83/150), 54.7% (93/150) and 52.7% (79/150) respectively in group A before the intervention. However, proportions of such records were decreased to 50.6% (79/156), 35.9% (56/156), 32.1% (50/156) and 39.7% (62/156) respectively in group B after the intervention and the differences were statistically significant (all P<0.05). Conclusions: A specific quality evaluation criterion is established based on Delphi method and AHM-TOPSIS for the out-patient medical records of cancer pain. The quality of medical records has been improved in a certain level after adapting comprehensive evaluation and intervention on the out-patient medical records of cancer pain.

Local weighted regression statistical analysis based mathematical education evaluation

In order to improve effectiveness of statistic analysis of mathematics education, a statistic analysis method for mathematics education based on locally weighted regression is proposed. At first, attribute hierarchical model (AHM) is used to build statistic analysis model of mathematics education. Mode of evaluation is selected as diagnostic evaluation of standard reference. Specific entries related to mathematics teaching items in curriculum standards serve as measurement goal, which is regarded as cognitive attribute of AHM. Next, locally weighted regression is introduced, polynomial is weighted and fitted for points to be fitted by means of locally observed data and such points are estimated by least square method. In the end, effectiveness of the proposed method is verified by simulation experiment.

Post evaluation of distributed energy generation combining the attribute hierarchical model and matter-element extension theory

Abstract Distributed energy supply has a prominent impact on solving the contradiction between energy supply and demand, environmental degradation, and other issues. This paper analyzes the application of distributed energy supply for specific power projects. We developed a systematic post project evaluation index and evaluation model using the theory of matter-element extension, and determined weights for all indicators that influenced distributed energy generation projects, combined with the attribute hierarchical model. The proposed model was verified experimentally, and shown to enhance evaluation of distributed generation projects. In addition, (1) Distributed energy systems have been widely applied across the world due to their inherent advantages of flexibility, convenience, environmentally friendliness, and high reliability, so it is necessary to study. (2) This paper combined the matter-element extension theory (MEET) and the attribute hierarchical model (AHM) to develop an evaluation model for distributed generation projects. The proposed model was verified experimentally using actual distributed energy project data. (3) This paper enhances the evaluation theoretical research on the post-evaluation of distributed generation projects and capturing experience and lessons for subsequent projects.

Coupling System Model of Sci-tech Innovation and Sci-tech Finance and Its Application

This paper, on the basis of establishing coupling evaluation system of Sci-tech finance and Sci-tech innovation, sets up index weight by adopting Attribute Hierarchical Model (AHM) and Entropy Weighting Method (EWM). Coupling system model is implemented to conduct empirical study to coordinated development of Sci-tech finance and Sci-tech innovation in Hunan Province from the perspective of space and time Results showed that coordinated development of Sci-tech finance and Sci-tech innovation in 14 cities during 2001 to 2012 has been polarized, and its overall level is still relatively low. Among the cities, Changsha is at good coordinated phase while Zhuzhou, Xiangtan, Hengyang and Yueyang are at fundamental coordinated phase. The other cities are at a moderately or severely imbalanced stage. From the angle of space, Hunan province Sci-tech innovation and Sci-tech finance coordination degree have obvious regional imbalance, the Changsha-Zhuzhou-Xiangtan core region has highest coupling coordination level. The coupling coordination level in the West-Hunan region is lowest and has the slowest development speed. From the comparison of comprehensive evaluation index of these two subsystems, Sci-tech innovation and Sci-tech finance loss together is a common phenomenon in the Sci-tech industry development in Hunan province.

Sensor Deployment Based on Attribute Hierarchical Model Considering Heterogeneity to Diagnose Single Station Manufacturing System

Sensor Deployment Based on Attribute Hierarchical Model Considering Heterogeneity to Diagnose Single Station Manufacturing System

A Hierarchical Diagnosis Model for Syndrome Prediction in TCM of Post-Hepatitic Cirrhosis

Owing to the typical vagueness of treatment processes in traditional Chinese medicine (TCM), determining the final diagnosis result is very difficult. In this paper, a novel hierarchical diagnosis model (HDM) for syndrome prediction problems in TCM is constructed, incorporating rough set theory, expert judgement, and an attribute hierarchical model (AHM). Firstly, using the concept of the attribute hierarchical model, a hierarchical model with three levels - patient level, symptom level and diagnosis level - is built to predict the syndrome of a new case. Secondly, by integrating the positive region, support degree in rough set theory and expert experience, the subjective and objective parts of each attribute on the three levels are acquired. Thirdly, the synthetic attribute-weights at diagnosis level are obtained to predict the syndrome. Finally, an example is studied to illustrate the detailed implementation process of the HDM approach, and a real post-hepatitic cirrhosis dataset is also diagnosed to evaluate the performance of the model. The encouraging results show the effectiveness of the presented method. 1

OIL SPILL RESPONSE AND PREPAREDNESS SYSTEM BASED ON CASE - BASED REASONING - DEMONSTRATED USING A HYPOTHETICAL CASE

For the purpose of coping with oil spills successfully, it is important to establish effective response and preparedness plans. In previous study, we proposed the use of Case-Based Reasoning (CBR) technology to develop environmental emergency response and preparedness plans. In this paper, we present how to develop a CBR-Oil Spill Response and Preparedness System (CBROSRPS). In particular, the Frame method is employed to do case representation, the modified Heterogeneous Euclidean-Overlap Metric method is used to define the similarity function, and the Attribute Hierarchical Model method is applied to assign relative weights to attributes. 228 cases are designed and stored into the developed CBR-OSRPS in Shanghai, and the steps of application of the system is demonstrated through a scenario analysis of a hypothetical oil spill accident, including case retrieval, solution show, solution adaptation, and map function. The results show that the total process is quick and these solutions are created reasonably and can be applied in practice. Because the methodology adopts relative weights for relevant attributes, it can be used even with speculative or incomplete accident information. Its ability to record historical knowledge in a database should be helpful for on-site reference by decision makers and experts. The method of establishment of a rule library to adjust solutions is presented in this paper, but it remains relegated to suggest qualitative adjustments. We propose integrating the CBR system with other technologies, such as Genetic Algorithm (GA) and Back-Propagation Artificial Neural Networks (BP-ANN), to solve this issue in the future.

CBR respond and preparedness system development for environmental emergency

Effective response and preparedness plans are important for successfully coping with environmental emergencies. ‘Quickness’ and ‘accuracy’ are the most important requirements of environmental emergency response and preparedness planning. We propose the use of case-based reasoning (CBR) technology to develop response and preparedness plans using these principles. Taking into account the characteristics of a real environmental emergency, the development is presented using the example of a CBR – Oil Spill Response and Preparedness System. This paper introduces the methodology, which includes system architecture, inputs and outputs, case structure, case retrieval, case adaptation, case evaluation and retention, and management of the case base. The following methods are presented to meet the requirements of environmental emergency response and preparedness planning: the Frame method for defining case representation; the modified Heterogeneous Euclidean-Overlap Metric method for defining the similarity function; and the Attribute Hierarchical Model method for assigning relative weights to attributes. The effectiveness and uncertainty of the methodology are also discussed.