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Health Information Security: A Case Study of Three Selected Medical Centers in Iran

Nafiseh Hajrahimi, Sayed Dehaghani, Abbas Sheikhtaheri
2013 Acta Informatica Medica  
After entropy technique, the weight of each index is calculated. The following table shows the weight of each indicator after using the entropy tech-nique.  ...  Recently, many studies are oriented on new methods, such as methods based on quantitative research, economic analysis, and statistical models of patient privacy, public policy, risk management and the  ... 
doi:10.5455/aim.2012.21.42-45 pmid:23572861 pmcid:PMC3610584 fatcat:3ylqt2u5unh23brm2voyzwuppi

Collaborative Performance Research on Multi-level Hospital Management Based on Synergy Entropy-HoQ

Lei Chen, Xuedong Liang, Tao Li
2015 Entropy  
Shusaku and Shoji used data mining methods to extract information stored in a hospital information systems and applied exploratory data analysis techniques and a generalized linear model to optimize the  ...  Comfort et al. assessed the emergency response capacity of communities through the establishment of a dynamic simulation system model, and found that the transfer of and access to key information was helpful  ...  based on the entropy weight principle.  ... 
doi:10.3390/e17042409 fatcat:h6znexredbfshcnw2c7gk7f6ha

Comprehensive Evaluation of Economic Development Level of Beijing, Tianjin and Hebei Cities Based on TOPSIS Method

Xiaomei Zou, Renhao Jin
2019 Zenodo  
This paper constructs a comprehensive evaluation index system of economic development level, makes empirical analysis by using the method of entropy weight TOPSIS, and ranks the comprehensive scores.  ...  Xiaomei Zou | Renhao Jin "Comprehensive Evaluation of Economic Development Level of Beijing, Tianjin and Hebei Cities Based on TOPSIS Method" Published in International Journal of Trend in Scientific Research  ...  On the contrary, if the information entropy is large, the amount of information provided is small and the weight is low.  ... 
doi:10.5281/zenodo.3588769 fatcat:johiayr4jzgl7izwiiej4cec3m

Application of Entropy-Based Attribute Reduction and an Artificial Neural Network in Medicine: A Case Study of Estimating Medical Care Costs Associated with Myocardial Infarction

Qingyun Du, Ke Nie, Zhensheng Wang
2014 Entropy  
The subset of attributes was selected as the input variables of ANN by using an entropy-based information measure, fuzzy information entropy, which can deal with both categorical attributes and numerical  ...  In this study, we developed an integrated method for estimating the medical care costs, obtained from 798 cases, associated with myocardial infarction disease.  ...  In this study, an integrated method based on fuzzy information entropy and ANN was developed to estimate medical care costs for admissions of MI disease.  ... 
doi:10.3390/e16094788 fatcat:ploaunoz4jf6xjkq55rrafn4b4

A Privacy Risk Assessment Model for Medical Big Data Based on Adaptive Neuro-Fuzzy Theory

Mingyue Shi, Rong Jiang, Wei Zhou, Sen Liu
2020 Security and Communication Networks  
Also, based on the user's historical access information and interaction records, the user's access behavior and trust are quantified with the help of information entropy and probability, and a definition  ...  Information leakage in the medical industry has become an urgent problem to be solved in the field of Internet security.  ...  [30] constructed a context-based medical information risk access control framework, and this framework mainly judges whether to grant users access rights based on authority files, user access logs,  ... 
doi:10.1155/2020/5610839 doaj:79f853e06add4dcdbcc6a3ffef65a660 fatcat:2i3yy7ohnneofmmhtngw7f2qdu

An integrated service for Personalised Healthcare and Wellness (PHW)

Su Shing Chen
2010 International Journal of Functional Informatics and Personalised Medicine  
At the Systems Biology Lab of the University of Florida, we are developing an integrated system, PHW service, for accessing and storing and monitoring information in personalised medicine.  ...  With role-based access control, access decisions are based on the roles that individual users have as part of an organisation.  ...  There are two most used methods to extract biological knowledge: either a statistical method based on co-occurrences of proteins or genes (see next section also), or a rule-based extraction method.  ... 
doi:10.1504/ijfipm.2010.037151 fatcat:rj7dhyvoqnbxjkt24rqaipmkfi

An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems

Rong Jiang, Wenxuan Wu, Yimin Yu, Feng Ma
2021 Frontiers in Public Health  
The experiment proves that the intelligent access control model based on credit computing proposed in this study can play a role in protecting the privacy of patients to a certain extent.  ...  To reduce the risk of patient privacy leakage when medical data are accessed, this article proposes a dynamic permission intelligent access control model that introduces credit line calculation.  ...  of access control, refine the granularity of access control, and propose a dynamic multilevel access control model based on trust.  ... 
doi:10.3389/fpubh.2021.718594 pmid:34568259 pmcid:PMC8462519 fatcat:463m7z6wb5ht5b3cuiwrepzwrq

Individual Attribute Selection Using Information Gain based Distance for Group Classification of Elderly People with Hypertension

Supansa Chaising, Punnarumol Temdee, Ramjee Prasad
2021 IEEE Access  
For this study, the individual attributes affecting the classification of elderly groups are selected based on individual abilities to control hypertension.  ...  Data Collection The case study of this research is the classification of the elderly with hypertension group based on their ability to control hypertension development.  ... 
doi:10.1109/access.2021.3084623 fatcat:cjslz3xelvbvzezisx4aoep7ai

Hybrid Medical Image Segmentation based on Fuzzy Global Minimization by Active Contour Model

J. Umamaheswari, G. Radhamani
2012 International Journal of Computer Applications  
This paper provides new hybrid medical image segmentation based on Global Minimization by Active Contour (GMAC) method and Spatial Fuzzy C Means Clustering method (SFCM) tailored to CT imaging applications  ...  We validate the new approach with the parameters in terms of energy level, Relative Entropy (RE), Discrete Entropy(DE), Mutual information(MI), Evaluation time(ET).  ...  Though ET is not only dependant on the clock time. Rather, in addition to the clock-period, it depends on the memory-size, the input data size, and the memory access time.  ... 
doi:10.5120/4877-7309 fatcat:5xvb7u2unfewxi6wdqholvoyhy

Cloud Computing Support For Diagnosing Researches

A. Amirov, O. Gerget, V. Kochegurov
2014 Zenodo  
Approved methods are based on complex system entropy methods, algorithms for determining the energy patterns of development and trajectory models of biological systems and logical–probabilistic approach  ...  Service includes own algorithms and allows diagnosing and predicating medical cases.  ...  Service evaluations of functional reserves and the degree of tension of the human body based on the entropy approach.  ... 
doi:10.5281/zenodo.1093873 fatcat:wnmjyuc4fzge7ashysi3ikvcxq

A GRA-based method for evaluating medical service quality

Aijun Liu, Xingru Guo, Taoning Liu, Yan Zhang, Sang-Bing Tsai, Qiuyun Zhu, Chao-Feng Hsu
2019 IEEE Access  
INDEX TERMS Medical service quality, grey relational analysis, order relation analysis, information entropy. 34252 2169-3536  ...  Second, the subjective and objective information is aggregated to determine criteria weights, and then the grey relational analysis method is proposed to evaluate alternatives.  ...  On the contrary, the larger the entropy value, the smaller the weight. The specific steps for determining the weights using the entropy weight method are as follows.  ... 
doi:10.1109/access.2019.2903684 fatcat:z3tqvducdjbd5n42fgo3jofufa

Structured Medical Pathology Data Hiding Information Association Mining Algorithm based on Optimized Convolutional Neural Network

Xiaofeng Li, Yanwei Wang, Gang Liu
2019 IEEE Access  
Firstly, an information feature is optimized based on rough set relative classification information entropy and ant colony algorithm and the optimized feature matrix is obtained.  ...  Therefore, structured medical pathology data hiding information association mining algorithm based on optimized convolution neural network is proposed.  ...  In summary, information feature optimization method based on rough set relative classification information entropy and ant colony algorithm, the application of the proposed method to information hiding  ... 
doi:10.1109/access.2019.2960456 fatcat:a6v5czjnivcjfe4culcpd6vus4

Evaluation method of medical service system based on DEMATEL and the information entropy: A case study of hypertension diagnosis and treatment in China

Rui Miao, Xiaohao Xiang, Qi Wu, Zhibin Jiang
2020 PLoS ONE  
In this study, DEMATEL and information entropy are used to quantify the degree of mutual influence between system indicators and the differences in medical market performance respectively, so as to obtain  ...  the objective index weight.  ...  DEMATEL and information entropy method are effective in the weight evaluation of medical value indicators, which minimize the impact of direct artificial weighting on the evaluation results and ensure  ... 
doi:10.1371/journal.pone.0243832 pmid:33318708 pmcid:PMC7735816 fatcat:qfmbla5ntnbf7dzrc27pkv52ti

A hybrid information security risk assessment procedure considering interdependences between controls

Chi-Chun Lo, Wan-Jia Chen
2012 Expert systems with applications  
Lastly, the Fuzzy Linguistic Quantifiers-guided Maximum Entropy Order-Weighted averaging (FLQ-MEOWA) operator is used to aggregate impact values assessed by experts, applied to diminish the influence of  ...  In this paper, a hybrid procedure for evaluating risk levels of information security under various security controls is proposed.  ...  Entropy represents the measurement in amounts of information used in the arguments during an aggregation based on the weighting vector.  ... 
doi:10.1016/j.eswa.2011.07.015 fatcat:h7tu44ds4reslg4c3xocjxlqim

Research on Risk Assessment Model of Epidemic Diseases in a Certain Region Based on Markov Chain and AHP

Ming Yang, Li Jia, Wanyu Xie, Tilei Gao
2021 IEEE Access  
[43] , risk modeling and assessment based on index system [44] , [45] , risk modeling and assessment based on GIS(Geographic Information System) [46] , [47] , etc.  ...  Finally, the risk state assessment results of city-A at T + K, K ≥ 1 moment are obtained after multiple assessment. 2) Information entropy method According to the theory of information entropy, a region  ... 
doi:10.1109/access.2021.3081720 fatcat:7ffitrpt5zghza2b2ci5oqgqba
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