Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals
暂无分享,去创建一个
Dalvan Griebler | Rodrigo da Rosa Righi | Cristiano André da Costa | Gabriel Souto Fischer | Guilherme Galante | Guilherme Galante | C. Costa | R. Righi | Dalvan Griebler
[1] R. Scheffler,et al. Global Health Workforce Labor Market Projections for 2030 , 2016, Human Resources for Health.
[2] Philippe Merle,et al. Coordinating Vertical Elasticity of both Containers and Virtual Machines , 2018, CLOSER.
[3] Wlodek Kulesza,et al. Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique , 2017, Sensors.
[4] Eduardo Huedo,et al. Efficient resource provisioning for elastic Cloud services based on machine learning techniques , 2019, Journal of Cloud Computing.
[5] T. Ishikawa,et al. Forecasting the regional distribution and sufficiency of physicians in Japan with a coupled system dynamics—geographic information system model , 2017, Human Resources for Health.
[6] K. Sreekumar,et al. A review and analysis of machine learning and statistical approaches for prediction , 2017, 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT).
[7] Cristiano André da Costa,et al. Joint‐analysis of performance and energy consumption when enabling cloud elasticity for synchronous HPC applications , 2016, Concurr. Comput. Pract. Exp..
[8] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[9] Aniruddha S. Gokhale,et al. Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications , 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).
[10] Cristiano André da Costa,et al. AutoElastic: Automatic Resource Elasticity for High Performance Applications in the Cloud , 2016, IEEE Transactions on Cloud Computing.
[11] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[12] Dimosthenis Kyriazis,et al. IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices , 2019, Sensors.
[13] Walid A. Hanafy,et al. A New Infrastructure Elasticity Control Algorithm for Containerized Cloud , 2019, IEEE Access.
[14] Sylvester Olubolu Orimaye,et al. Predicting proximity with ambient mobile sensors for non-invasive health diagnostics , 2015, 2015 IEEE 12th Malaysia International Conference on Communications (MICC).
[15] Qusay Idrees Sarhan. Internet of things: a survey of challenges and issues , 2018, IoT 2018.
[16] Rajkumar Buyya,et al. Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems , 2019, ACM Comput. Surv..
[17] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[18] Jorge Luis Victória Barbosa,et al. ElCity: An Elastic Multilevel Energy Saving Model for Smart Cities , 2018, IEEE Transactions on Sustainable Computing.
[19] Arun Kejariwal,et al. Techniques for Optimizing Cloud Footprint , 2013, 2013 IEEE International Conference on Cloud Engineering (IC2E).
[20] Bjorn P. Berg,et al. Improving Clinic Operational Efficiency and Utilization with RTLS , 2019, Journal of Medical Systems.
[21] Peter R. Winters,et al. Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .
[22] K. Anandakumar,et al. A comprehensive review on usage of Internet of Things (IoT) in healthcare system , 2015, 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).
[23] Divneet Singh Kapoor,et al. Create Your Own Internet of Things: A survey of IoT platforms. , 2017, IEEE Consumer Electronics Magazine.
[24] Marco Aurélio Stelmar Netto,et al. Evaluating Auto-scaling Strategies for Cloud Computing Environments , 2014, 2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems.
[25] Oliver Sinnen,et al. List-Scheduling versus Cluster-Scheduling , 2018, IEEE Transactions on Parallel and Distributed Systems.
[26] Victor I. Chang,et al. Towards Enabling Live Thresholding as Utility to Manage Elastic Master-Slave Applications in the Cloud , 2017, Journal of Grid Computing.
[27] Khaled Salah,et al. Impact of CPU Utilization Thresholds and Scaling Size on Autoscaling Cloud Resources , 2013, 2013 IEEE 5th International Conference on Cloud Computing Technology and Science.
[28] Faiez Zalila,et al. Model-Driven Elasticity Management with OCCI , 2019, IEEE Transactions on Cloud Computing.
[29] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[30] Cristiano André da Costa,et al. Enhancing performance of IoT applications with load prediction and cloud elasticity , 2020, Future Gener. Comput. Syst..
[31] Jaakko Hollmén,et al. Resource Frequency Prediction in Healthcare: Machine Learning Approach , 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).
[32] Cristiano André da Costa,et al. Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards , 2018, Artif. Intell. Medicine.
[33] J. L. Hodges,et al. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties , 1989 .
[34] Raymond Bond,et al. Using Data Mining to Predict Hospital Admissions From the Emergency Department , 2018, IEEE Access.
[35] P. Whittle. Hypothesis testing in time series analysis , 1954 .
[36] M. Grypdonck,et al. Health professionals’ dealing with hope in palliative patients with cancer, an explorative qualitative research , 2018, European journal of cancer care.
[37] Dhananjay Singh,et al. Elastic-RAN: An adaptable multi-level elasticity model for Cloud Radio Access Networks , 2019, Comput. Commun..
[38] Peng Song,et al. Sensitive time series prediction using extreme learning machine , 2019, Int. J. Mach. Learn. Cybern..
[39] Alexandru Butean,et al. Auxilum Medicine: A Cloud Based Platform for Real-Time Monitoring Medical Devices , 2015, 2015 20th International Conference on Control Systems and Computer Science.
[40] Maged N Kamel Boulos,et al. Real-time locating systems (RTLS) in healthcare: a condensed primer. , 2012, International journal of health geographics.
[41] Francisco Vázquez,et al. Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks , 2019, Sensors.
[42] A. Lawson,et al. Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study , 2012, International Journal of Health Geographics.
[43] Raffaela Mirandola,et al. Simulation of Techniques to Improve the Utilization of Cloud Elasticity in Workload-aware Adaptive Software , 2016, ICPE Companion.
[44] Philippe O. A. Navaux,et al. A lightweight plug-and-play elasticity service for self-organizing resource provisioning on parallel applications , 2018, Future Gener. Comput. Syst..
[45] Mojtaba Vahidi-Asl,et al. DMP-IOT: A distributed movement prediction scheme for IOT health-care applications , 2017, Comput. Electr. Eng..
[46] Kevin Lee,et al. How a consumer can measure elasticity for cloud platforms , 2012, ICPE '12.
[47] R. Righi,et al. Personal Health Records: A Systematic Literature Review , 2017, Journal of medical Internet research.
[48] Philippe Merle,et al. Elasticity in Cloud Computing: State of the Art and Research Challenges , 2018, IEEE Transactions on Services Computing.
[49] Cristiano André da Costa,et al. Towards providing middleware-level proactive resource reorganisation for elastic HPC applications in the cloud , 2019, Int. J. Grid Util. Comput..
[50] D. Cox. The Regression Analysis of Binary Sequences , 1958 .