Jingyi Yan, Jin-Xiu Zhu, Nan Lu, Shanshan Gao, Jianfeng Ye, Chengzhi Yu, Minghui Yue and Xuerui Tan
The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey…
Abstract
Purpose
The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey relational analysis (GRA).
Design/methodology/approach
A total of 294 individuals who underwent simultaneous routine blood examination and blood lipid examination in the Physical Examination Center of the First Affiliated Hospital of Shantou University Medical College were included in this study. Superior GRA was performed to find out the superior factor in CVD-related hematological parameters and blood lipids. CVD-related hematological parameters included red blood cell distribution width, white cell count, and platelet count, platelet distribution width, mean platelet volume, as well as platelet crit. The indicators of blood lipids analyzed here consist of low-density lipoprotein, high-density lipoprotein, triglyceride and total cholesterol.
Findings
The results showed that all the grey relational degree of hematological parameters and blood lipids were over 0.8; the superior factor in hematological parameters was PLT, whereas TC was the superior factor in blood lipids.
Practical implications
Findings of this study suggested that hematological parameters are closely related to blood lipids and a potential role for hematological parameters in the prediction of dyslipidemia, which need further study; TC has the greatest influence on hematological parameters, whereas TG displays a minimal impact.
Originality/value
To the authors’ best knowledge, it was the first study to analyze the relationship between various CVD-related hematological parameters and blood lipids via superior GRA.
Xuejun Shen, Minghui Yue, Pengfei Duan, Guihai Wu and Xuerui Tan
Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted…
Abstract
Purpose
Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted accuracy.
Design/methodology/approach
The ABC classification method is used to classify medical consumables and select the analysis objects. The GM (1,1) model predicts the annual consumption of medical materials. The GM (1,1) modeling of the consumption of the selected medical materials in 2006~2017 was carried out by using the metabolite sequence and the sequence topology subsequence, respectively. The average rolling error and the average rolling accuracy are calculated to evaluate the prediction accuracy of the model.
Findings
The ABC classification results show that Class A projects, which account for only 9.79 percent of the total inventory items, occupy most of the inventory funds. Eight varieties with varying purchases and usages and complete historical data were selected for further analysis. The subsequence GM(1,1) model group constructed by two different methods predicts and scans the annual consumption of eight kinds of medical materials, and the rolling precision can reach more than 90 percent.
Originality/value
The metabolic GM (1,1) model is an ideal predictive model that can meet the requirements for a short-term prediction of medical material consumption (Zhang et al., 2014). The GM (1,1) model is more suitable for a short-term prediction of medical material consumption with less data modeling.
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Tan Xuerui and Li Yuguang
Grey relational analysis (GRA) proposed by Deng Julong is very useful to analyze medical data. The essential thought of GRA is to find a grey relational order, which can be used…
Abstract
Grey relational analysis (GRA) proposed by Deng Julong is very useful to analyze medical data. The essential thought of GRA is to find a grey relational order, which can be used to describe the relation between the related factors based on data series. The two‐grade difference is a traditional method of GRA and the three‐grade difference is an improved one. The basic steps and formulae of GRA are introduced and GRA is used to analyze the experiment medical data, clinical trial data, data of clinical study and ambulatory and grouping medical data.
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Yuhua Yang and Xuerui Tan
The purpose of this paper is to study the superior relationship among the parameters of age, casual blood pressure and 24‐hour ambulatory blood pressure with left atrial and…
Abstract
Purpose
The purpose of this paper is to study the superior relationship among the parameters of age, casual blood pressure and 24‐hour ambulatory blood pressure with left atrial and ventricular structure and left ventricular filling function in systolic hypertensives (SH).
Design/methodology/approach
A total of 30 male and seven female patients aged from 46‐74 (averaged at 59±7) years with stage I∼II systolic hypertension were studied. The criterion of the subjects was SBP ≥ 160 mmHg and DBP < 95 mmHg or SBP ≥ 2 × (DBP‐15 mmHg) and DBP≥95 mmHg. The parameters acted as independent variables were: age, casual systolic and diastolic blood pressure (CSBP and CDBP) and 24‐hour ambulatory systolic and diastolic blood pressure (ASBP24 and ADBP24). The parameters acted as dependent variables were ratio of the early rapid filling peak flow velocity and late atrial contractive filling peak flow velocity below the mitral valve on the pulsed‐wave spectral Doppler echocardiography (LAD/AoD). The collected data were analyzed via the superior grey relational analyses.
Findings
The results showed that the superior grey relational order in independent variables was ASBP24 > ADBP24 > CSBP > CDBP > age and the superior grey relational order in dependent variables was LAD/AoD > MVe/a > LVMI.
Originality/value
Among the independent variables ASBP24 is the most important factor of affecting the cardiac structure and function in SH. The first cardiac variation in SH is the left atrial structure affected by the independent variables. After that left ventricular diastolic dysfunction and the left ventricular hypertrophic changes take place in succession.
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Xiaoning Li, Xinbo Liao, Xuerui Tan and Haijing Wang
The purpose of this paper is to evaluate resource configuration and service ability in hospital on public private partnership (PPP) model (Chaonan Minsheng Hospital of Guangdong…
Abstract
Purpose
The purpose of this paper is to evaluate resource configuration and service ability in hospital on public private partnership (PPP) model (Chaonan Minsheng Hospital of Guangdong Province), supplying decision-making reference for participants of hospital on PPP model.
Design/methodology/approach
Four model of grey relational analysis (GRA) (Deng's correlation degree, grey absolute correlation degree, grey relative correlation degree and grey comprehensive correlation degree) are applied to evaluate resource configuration and service ability, a total of 11 indicators of hospital on PPP model public hospital and private hospital from 2007 to 2011.
Findings
The paper finds that different GRA models have different results when the paper applied them to evaluate resource configuration and service ability in hospital on PPP model. More than 60 per cent indicators of resource configuration (total six indicators) and service ability (total six indicators) are assessed as “hospital on PPP model ≻ public hospital” or “hospital on PPP model≻ private hospital” from three models of Deng's correlation degree, grey absolute correlation degree and grey comprehensive correlation degree.
Practical implications
Evaluation of resource configuration and service ability for hospital on PPP model with GRA makes results quantified objective and provides reference for decision making and management. GRA makes the comparison of resource configuration and service ability between hospital on PPP model and other model hospitals becoming possible.
Originality/value
The shortcoming for data analysis method of “large sample” is overcome and data analysis method of “small sample” is realized by using GRA, which broaden the method of evaluating hospital on PPP model.
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Sifeng Liu, Yingjie Yang, Ying Cao and Naiming Xie
The purpose of this paper is to review systematically the research of grey relation analysis (GRA) models.
Abstract
Purpose
The purpose of this paper is to review systematically the research of grey relation analysis (GRA) models.
Design/methodology/approach
Three different approaches, the springboard to build a GRA model, the angle of view in modelling, and the dimension of objects, are analysed, respectively.
Findings
The GRA models developed from the models based on relation coefficients of each point in the sequences in early days to the generalized GRA models based on integral or overall perspective. It evolved from the GRA models which measure similarity based on nearness, into the models which consider similarity and nearness, respectively. The objects of the research advanced from the analysis of relationship among curves to that among curved surfaces, and further to the analysis of relationship in three‐dimensional space and even the relationship among super surfaces in n‐dimensional space.
Originality/value
The further research on GRA models is proposed. One is about the property of GRA model. An in‐depth knowledge about the properties of GRA model will help people to understand its function, applicable area and requirements for modelling. The other one is about the extension of research object system. The object to be analysed should be extended from the common sequence of real numbers to grey numbers, vectors, matrices, and even multi‐dimensional matrices, etc.
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Chongxu Zhang, Lizhong Duan, Hangyu Liu, Yinran Zhang, Lili Yin, Qiaoqiao Sun and Qi Lu
The purpose of this paper is to understand the attitude of patients towards the current medical service price and the effect of policy implementation, and explore the existing…
Abstract
Purpose
The purpose of this paper is to understand the attitude of patients towards the current medical service price and the effect of policy implementation, and explore the existing problems of the current medical service price policy in the region in order to provide a research basis for the dynamic adjustment mechanism of the medical service price.
Design/methodology/approach
Literature analysis and expert interviews are used to design the questionnaire of the dynamic adjustment of medical service price formation mechanism. A convenient sampling method is used to extract data of 600 patients from the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, on-site to fill out the paper-based questionnaire and electronic questionnaire. The grey relational analysis is used to explore the difference in the attitudes of patients towards the price of the medical service. Combined with the research results and expert interview results, some improvement suggestions related to the current price policy of medical service in five areas are put forward.
Findings
The overall average score of respondents in the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, is found to be 3.861. In terms of surgical operation fee and examination fee, the average score is higher than 4, i.e. 4.097 and 4.011, respectively, indicating “relatively high” nodes. According to grey relevancy sorting, the correlation between the health service price attitude and the overall score in the five regions is in the following order: Shandong > Tianjin > Beijing > Liaoning > Hebei.
Originality/value
In this study, patients’ attitude towards the current price of medical services in their local areas, Beijing, Tianjin, Hebei, Shandong and Liaoning, is investigated in order to explore the existing problems of medical service price reform and thus provide the basis for further improvement in the medical service price policy.
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Sifeng Liu, Yong Tao, Naiming Xie, Liangyan Tao and Mingli Hu
The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it…
Abstract
Purpose
The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it commemorates the 40th anniversary of the birth of grey system theory and the 10th anniversary of Grey Systems–Theory and Application.
Design/methodology/approach
Firstly, the innovations of theoretical research in grey system theory were summarized and some of the widely recognized new results are briefly described. By searching and combing the research results of grey system theory in China national knowledge infrastructure (CNKI) database and Web of Science by Institute for Scientific Information (ISI), this paper shows the rapid development trend of grey system theory in the past 40 years, and the successful applications of grey system theory in the fields of social sciences, natural sciences and engineering technologies.
Findings
More than 227 thousands literature were found by input 10 phrases such as grey system, grey number and sequence operator etc. in CNKI database. After entering the new century, the number of grey system papers included in CNKI database is increasing rapidly. Since 2008, more than 10 thousands papers have been included per year and more than 15 thousands papers have been included per year since 2014. Grey system method and model are widely used in physics, chemistry, biology and other fields of natural science, as well as transportation, electric power, machinery and other fields of engineering technology, and a large number of valuable results have been achieved.
Practical implications
It can be seen that the grey system theory plays an important role in promoting China’s scientific and technological progress, innovation and development and high-level talent training from tens of thousands of literatures marked with important national science and technology projects and a large number of grey system literatures published by China’s double first-class universities and double first-class discipline construction universities.
Originality/value
Both innovations of theoretical research and practical application play important role in the growth of new theory. The innovations of theoretical research provide methods and tools for practical application, which is conducive to improve application efficiency and broaden application fields. A large number of practical applications needs have become the source of theoretical innovation and the solid background for the birth of theoretical innovation achievements.
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The purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.
Abstract
Purpose
The purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.
Design/methodology/approach
The definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.
Findings
The negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.
Practical implications
The proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.
Originality/value
The definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.