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Big Data Analytics in Healthcare——A Systematic Literature Review and Roadmap for Practical Implementation

IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 1-22页

作者： Sohail Imran Tariq Mahmood Ahsan Morshed Timos Sellis the faculty of Computer Science Karachi Institute of Economics and TechnologyKarachi 75190Pakistan the faculty of Computer Science Institute of Business AdministrationKarachi 75270Pakistan the School of Engineering and Technology CQ UniversityMelbourne 3000Australia the Data Science Research Institute Swinburne University of TechnologyHawthorn 3122Australia

The advent of healthcare information management systems(HIMSs)continues to produce large volumes of healthcare data for patient care and compliance and regulatory requirements at a global *** of this big data allows for boundless potential outcomes for discovering *** data analytics(BDA)in healthcare can,for instance,help determine causes of diseases,generate effective diagnoses,enhance Qo S guarantees by increasing efficiency of the healthcare delivery and effectiveness and viability of treatments,generate accurate predictions of readmissions,enhance clinical care,and pinpoint opportunities for cost ***,BDA implementations in any domain are generally complicated and resource-intensive with a high failure rate and no roadmap or success strategies to guide the *** this paper,we present a comprehensive roadmap to derive insights from BDA in the healthcare(patient care)domain,based on the results of a systematic literature *** initially determine big data characteristics for healthcare and then review BDA applications to healthcare in academic research focusing particularly on No SQL *** also identify the limitations and challenges of these applications and justify the potential of No SQL databases to address these challenges and further enhance BDA healthcare *** then propose and describe a state-of-the-art BDA architecture called Med-BDA for healthcare domain which solves all current BDA challenges and is based on the latest zeta big data *** also present success strategies to ensure the working of Med-BDA along with outlining the major benefits of BDA applications to ***,we compare our work with other related literature reviews across twelve hallmark features to justify the novelty and importance of our *** aforementioned contributions of our work are collectively unique and clearly present a roadmap for clinical administrators,practitioners and professionals to successf

关键词： Big data analytics(BDA) big data architecture healthcare NoSQL data stores patient care roadmap systematic literature review

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The witching week of herding on bitcoin exchanges

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Financial Innovation 2022年第1期8卷 752-769页

作者： N.Blasco P.Corredor N.Satrústegui Department of Accounting and Finance Faculty of Economics and Business AdministrationUniversity of Zaragoza and Research Institute on EmploymentDigital Society and Sustainability(IEDIS)Gran Vía 250005 ZaragozaSpain Department of business administration Institute for Advanced Research in Business and Economics(INARBE)Public University of Navarre(UPNA)Campus de Arrosadia s/n31006 PamplonaSpain Department of Accounting and Finance Faculty of Economics and Business AdministrationUniversity of ZaragozaGran Vía 250005 ZaragozaSpain

This paper analyses the herding behaviour among exchanges around the expiration of bitcoin futures traded on the Chicago Mercantile Exchange(CME).The database extends from December 2017 to October 2020,taking as a reference the main exchanges that trade bitcoin(Binance,Bitfinex,Bitstamp,Coinbase,itBit,Kraken,and Gemini)and using hourly closing prices and trading volumes in bitcoin and US *** the proposal of Chang,Cheng and Khorana(2000)(CCK)to test conditional herding,we obtain results that indicate that the herding effect is significant during the week before *** expiration,the herding effect lasts for a few hours and *** overload originating,among other causes,from sophisticated investors’strategies may generate this mimetic *** results show the relevance of intraday data applied to specific events such as expiration since the unconditional analysis shows,in general,anti-herding behaviour throughout the period of study.

关键词： Herding Expiration effect Bitcoin Futures Exchanges Intraday data

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Evolutionary Intelligence and Deep Learning Enabled Diabetic Retinopathy Classification Model

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Computers, Materials & Continua 2022年第10期73卷 87-101页

作者： Bassam A.Y.Alqaralleh Fahad Aldhaban Anas Abukaraki Esam A.Al.Qaralleh MIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Department of Computer Science Faculty of Information TechnologyAl-Hussein Bin Talal UniversityMa’an71111Jordan School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan

Diabetic Retinopathy(DR)has become a widespread illness among diabetics across the *** fundus images are generally used by physicians to detect and classify the stages of *** manual examination of DR images is a time-consuming process with the risks of biased results,automated tools using Artificial Intelligence(AI)to diagnose the disease have become *** this view,the current study develops an Optimal Deep Learning-enabled Fusion-based Diabetic Retinopathy Detection and Classification(ODL-FDRDC)*** intention of the proposed ODLFDRDC technique is to identify DR and categorize its different grades using retinal fundus *** addition,ODL-FDRDC technique involves region growing segmentation technique to determine the infected ***,the fusion of two DL models namely,CapsNet and MobileNet is used for feature ***,the hyperparameter tuning of these models is also performed via Coyote Optimization Algorithm(COA).Gated Recurrent Unit(GRU)is also utilized to identify *** experimental results of the analysis,accomplished by ODL-FDRDC technique against benchmark DR dataset,established the supremacy of the technique over existing methodologies under different measures.

关键词： Optimization algorithms medical images diabetic retinopathy deep learning fusion model

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Hybrid Metaheuristics Based License Plate Character Recognition in Smart City

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Computers, Materials & Continua 2022年第9期72卷 5727-5740页

作者： Esam A.Al.Qaralleh Fahad Aldhaban Halah Nasseif Bassam A.Y.Alqaralleh Tamer AbuKhalil School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan MIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Department of Computer Science Faculty of Information TechnologyAl-Hussein Bin Talal UniversityMa’an71111Jordan

Recent technological advancements have been used to improve the quality of living in smart *** the same time,automated detection of vehicles can be utilized to reduce crime rate and improve public *** the other hand,the automatic identification of vehicle license plate(LP)character becomes an essential process to recognize vehicles in real time scenarios,which can be achieved by the exploitation of optimal deep learning(DL)*** this article,a novel hybrid metaheuristic optimization based deep learning model for automated license plate character recognition(HMODL-ALPCR)technique has been presented for smart city *** major intention of the HMODL-ALPCR technique is to detect LPs and recognize the characters that exist in *** effective LP detection process,mask regional convolutional neural network(Mask-RCNN)model is applied and the Inception with Residual Network(ResNet)-v2 as the baseline *** addition,hybrid sunflower optimization with butterfly optimization algorithm(HSFO-BOA)is utilized for the hyperparameter tuning of the Inception-ResNetv2 ***,Tesseract based character recognition model is applied to effectively recognize the characters present in the *** experimental result analysis of the HMODL-ALPCR technique takes place against the benchmark dataset and the experimental outcomes pointed out the improved efficacy of the HMODL-ALPCR technique over the recent methods.

关键词： Smart city license plate recognition optimal deep learning metaheuristic algorithms parameter tuning

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The Global Financial Crisis and Stock Market Reaction to Bank Loan Announcements

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Frontiers of business Research in China 2016年第2期10卷 176-219页

作者： Ming-Hua Liu Cherrie Chen Xu faculty of business administration University of Macao Macao China

This study investigates how equity investors react to bank loan announcements in China using an event study methodology. By estimating the average Cumulative Abnormal Returns （CARs） over the event period and controlling for the impact of other factors such as borrower, lender and loan characteristics, we find that the overall reaction is negative. However, the results for the two sub-sample periods are different. After the onset of the Global Financial Crisis, the average CARs are no longer statistically different from zero, indicating higher lending standards and improvement in the quality of credit analysis of Chinese banks.

关键词： bank loan announcements stimulus package event study cumulative abnormal returns

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Optimizing Emergency Logistics for the Offsite Hazardous Waste Management

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Journal of Systems Science and Systems Engineering 2019年第6期28卷 747-765页

作者： Jiahong Zhao Ginger Y.Ke School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou 510006China faculty of business administration Memorial University of NewfoundlandSt.John'sNewfoundland and LabradorCanada A1B 3X5

Hazardous wastes pose increasing threats to people and environment during the processes of offsite collection,storage,treatment,and disposal.A novel game theoretic model,including two levels,is developed for the corresponding optimization of emergency logistics,where the upper level indicates the location and capacity problem for the regulator,and the lower level reflects the allocation problem for the emergency *** from other works in the literature,we focus on the issue of multi-quality coverages (full and partial coverages) in the optimization of facility location and *** be specific,the regulator decides the location plan and the corresponding capacity of storing emergency groups for multiple types of hazmats,so to minimizes the total potential environmental risk posed by incident sites;while the commander minimizes the total costs to provide an efficient allocation *** solve the bi-level programming model,two solution techniques,namely a KKT condition approach and a heuristic model,are designed and *** proposed model and solution techniques are then applied to a hypothetical case and a real-world case to demonstrate the practicality and provide managerial insights.

关键词： Bi-level programming hazardous material time-based risk assessment multi-quality covering model KKT heuristic technique

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The Strategy of Third-Party Mediation Based on the Option Prioritization in the Graph Model

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Journal of Systems Science and Systems Engineering 2019年第4期28卷 399-414页

作者： Zhenggao Wu Haiyan Xu Ginger Y. Ke College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing 211106 China faculty of business administration Memorial University of Newfoundland St. John's Newfoundland and Labrador A1B 3X5 Canada

The resolution of real-world conflicts is often supported by third-party intervention (i.e., media? tion). This paper proposes a possible mediation support in the form of a reverse optimization procedure under the framework of the Graph Model for Conflict Resolution (GMCR). The approach computes minimal priority adjustments of preference statements that are necessary to achieve a desired agreement. A mathematical model, based on the matrix form of GMCR, is developed to analyze this third-party mediation problem. Thereby;this study makes a first attempt to obtain option-based mediation strategies, which add comprehensiveness to the traditional state-based strategies, yet are easier to understand and hence more acceptable to the conflict participants. To illustrate the practicality;the proposed procedure is applied to a medical dispute between a patient and a hospital, with the aim to suggest changes in the ordering of preference statements that lead to a desired outcome.

关键词： Graph Model for Conflict Resolution third party mediation option prioritization minimal adjustment

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PROJECT REGULARITY： DEVELOPMENT AND EVALUATION OF A NEW PROJECT CHARACTERISTIC

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Journal of Systems Science and Systems Engineering 2017年第1期26卷 100-120页

作者： Jordy Batselier Mario Vanhoucke faculty of Economics and business administration Ghent Universit)/ Tweekerkenstraat 2 9000 Ghent Belgium Technology and Operations Management Area Vlerick Business School Reep 1 9000 Ghent Belgium UCL School of Management University College London Gower Street London WC1E 6BT United Kingdom

The ability to accurately characterize projects novel project characteristic is developed characteristic, called project regularity, is essential to good project management. Therefore, a reflects the value accrue within a project. This expressed in terms of the newly introduced regular/irregular-indicator RI. The widely accepted management system of earned value management （EVM） forms the basis for evaluation of the new characteristic. More concretely, the influence of project regularity on EVMforecasting accuracy is assessed, and is shown to be significant for both time and cost forecasting. Moreover, this effect appears to be stronger than that of the widely used characteristic of project seriality expressed by the serial/parallel-indicator SP. Therefore, project regularity could also be useful as an input parameter for project network generators. Furthermore, the introduction of project regularity can provide project managers with a more accurate indication of the time and cost forecasting accuracy that is to be expected for a certain project and, correspondingly, of how a project should be built up in order to obtain more reliable forecasts during project control.

关键词： Project management earned value management time and cost forecasting empirical database Monte Carlo simulation project control system

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SutteARIMA:A Novel Method for Forecasting the Infant Mortality Rate in Indonesia

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Computers, Materials & Continua 2022年第3期70卷 6007-6022页

作者： Ansari Saleh Ahmar Eva Boj del Val M.A.El Safty Samirah AlZahrani Hamed El-Khawaga business School Faculty of Economics and BusinessUniversitat de BarcelonaBarcelona08034Spain Department of Statistics Faculty of Mathematics and Natural ScienceUniversitas Negeri MakassarMakassar90224Indonesia Department of Economic Financial and Actuarial MathematicsFaculty of Economics and BusinessUniversitat de BarcelonaBarcelona08034Spain Department of Mathematics and Statistics Colleage of SciencesTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Statistics Mathematicsand InsuranceFaculty of CommerceTanta UniversityEgypt Department of Economics and Finance College of Business AdministrationTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

This study focuses on the novel forecasting method(SutteARIMA)and its application in predicting Infant Mortality Rate data in *** undertakes a comparison of the most popular andwidely used four forecasting methods:ARIMA,Neural Networks Time Series(NNAR),Holt-Winters,and *** data used were obtained from the website of the World *** data consisted of the annual infant mortality rate(per 1000 live births)from 1991 to *** determine a suitable and best method for predicting InfantMortality rate,the forecasting results of these four methods were compared based on the mean absolute percentage error(MAPE)and mean squared error(MSE).The results of the study showed that the accuracy level of SutteARIMA method(MAPE:0.83%andMSE:0.046)in predicting InfantMortality rate in Indonesia was smaller than the other three forecasting methods,specifically the ARIMA(0.2.2)with a MAPE of 1.21%and a MSE of 0.146;the NNAR with a MAPE of 7.95%and a MSE of 3.90;and the Holt-Winters with aMAPE of 1.03%and aMSE:of 0.083.

关键词： Forecasting infant mortality rate ARIMA NNAR holt-winters SutteARIMA

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Does patents on environmental technologies matter for the ecological footprint in the USA? Evidence from the novel Fourier ARDL approach

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Geoscience Frontiers 2023年第4期14卷 137-143页

作者： Dervis Kirikkaleli Emrah Sofuoglu Opeoluwaseun Ojekemi Department of Banking and Finance Faculty of Economic and Administrative SciencesEuropean University of LefkeLefkeNorthern Cyprus 99700Turkey Department of Economics Faculty of Economics and Administrative SciencesKirsehir Ahi Evran UniversityKirsehir 40100Turkey Department of business administration Faculty of Economics and Administrative Science Cyprus International UniversityNorthern CyprusTurkey

The outcome of patents on environmental(POET)technologies on the EF in the USA has not been com-prehensively ***,to close this breach in the literature,the present study discovers how patents on ecological technologies affect ecological footprint(EF)in the USA while regulatory for GDP and EC using the Fourier-based *** conclusions of the present study reveal that POET are an important predictor of EF in the USA and cause a reduction in ecological deprivation in the long run;as expected,economic growth negatively affects environmental *** outcomes suggest that it is possible to resolve conflicts between the economy and the environment by using technological *** USA government must reconsider its policy focus,particularly on coal energy sourcing and industrial energy,while continuing with heavy investments in its ambitious renewable energy technol-ogy development ***,the government should continue to promote investments in environ-mental technologies.

关键词： Patents on environmental technologies Eco-innovation Ecological footprint USA Fourier ARDL Fourier Toda Yamamoto causality

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