Cloud based intelligent system for delivering health care as a service

Computer Methods and Programs in Biomedicine

Volumn 113, Issue 1, 2014, Pages 346-359

  Kaur, Pankaj Deep ^a   Chana, Inderveer ^a  

^a THAPAR UNIVERSITY   (India)

Author keywords

Application behavior; Cloud computing; Diabetes detection; Quality of service; Resource elasticity

Indexed keywords

APPLICATION BEHAVIORS; CLASSIFICATION ACCURACY; DIABETES DETECTION; DYNAMIC RESOURCES; HEALTHCARE SERVICES; REAL TIME MONITORING; REPRESENTATIVE CASE; SENSOR TECHNOLOGIES;

CLOUD COMPUTING; DIGITAL STORAGE; ELASTICITY; INTELLIGENT SYSTEMS; QUALITY OF SERVICE;

HEALTH CARE;

AGING; ARTICLE; CHRONIC DISEASE; CLOUD BASED INTELLIGENT HEALTH CARE SERVICE; COMPUTER INTERFACE; COMPUTER PROGRAM; DIABETES MELLITUS; HEALTH CARE COST; HEALTH CARE DELIVERY; HEALTH STATUS; HUMAN; INFORMATION PROCESSING; LEARNING; LINEAR REGRESSION ANALYSIS; MEDICAL INFORMATION SYSTEM; PRINCIPAL COMPONENT ANALYSIS; SEDENTARY LIFESTYLE; SENSOR; WEB BROWSER;

APPLICATION BEHAVIOR; CLOUD COMPUTING; DIABETES DETECTION; QUALITY OF SERVICE; RESOURCE ELASTICITY;

ALGORITHMS; DELIVERY OF HEALTH CARE; HEALTH STATUS; INTERNET;

EID: 84887824268     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.09.013     Document Type: Article

References (49)

1. Armbrust M., Fox A., Griffith R., Joseph A.D., Katz R.H., Konwinski A., Lee G., Patterson D.A., Rabkin A., Stoica I., Zaharia M. Above the Clouds: A Berkeley View of Cloud Computing, UCB/EECS-2009-28 2009 Feb 10.
2. Buyya R., Yeo C.S., Venugopal S., Broberg J., Brandic I. Cloud computing and emerging IT platforms: vision hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems 2009, 25(June (6)):599-616.
3. Alberti K.G., Zimmer P.Z. Definition, diagnosis and classification of diabetes mellitus and its complication 1. Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetic Medicine 1998, 15:539-553.
4. Rosenthal A., Mork P., Li M.H., Stanford J., Koester D., Reynold P. Cloud computing: a new business paradigm for biomedical information sharing. Journal of Biomedical Informatics 2010, 43:342-353.
5. Amos A.F., Mccarty D.J., Zimmet P. The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabetic Medicine 1997, 14(Suppl. 5). S1-85.
6. Centers for Disease Control and Prevention National Diabetes Fact Sheet: National estimates and general information on diabetes and prediabetes in the United States 2011.
7. Wu J.H., Wang S.C., Lin L.M. Mobile computing acceptance factors in the healthcare industry: a structural equation model. International Journal of Medical Informatics 2007, 76:66-77.
8. Ogasawara A. Energy issues confronting the ICT sector. Science & Technology Trends Quarterly Review 2006, 21.
9. Marston S., Li Z., Bandyopadhyay S., Zhang J., Ghalsasi A. Cloud computing - the business perspective. Decision Support Systems 2011, 51(April (1)):176-189.
10. Dash M., Liu H. Consistency-based search in feature selection. Artificial Intelligence 2003, 151(December (1-2)):155-176.
11. World Health Organization, http://www.who.int/mediacentre/factsheets/fs312/en/.
12. Dall T.M., Zhang Y., Chen Y., Quick W., Yang W., Fogil J. The economic burden of diabetes. Health Affairs 2010, 29(February):2297-2303.
13. Wu S., Chaudhry B., Wang J., Maglione M., Mojica W., Roth E., Morton S.C., Shekelle P.G. Systematic review impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine 2006, 144(10):742-752.
14. Shojania K.G., Jennings A., Mayhew A., Ramsay C.R., Eccles M.P., Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database of Systematic Reviews 2009, CD001096.
15. Deutsch T., Gergely T., Trunov V. A computer system for interpreting blood glucose data. Computer Methods and Programs in Biomedicine 2004, 76:41-51.
16. Wang T., Shao K., Chu Q., et al. Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis. BMC Bioinformatics 2009, 10:83.
17. Wicks P., et al. Sharing health data for better outcomes on patients like me. Journal of Medical Internet Research 2010, 12(2):e19. Apr-Jun;.
18. https://sugarstats.com/.
19. http://curetogether.com/.
20. http://www.tudiabetes.org/.
21. Dhillion J.S., Wunsche B.C., Lutteroth C. Leveraging Web 2.0 and consumer devices for improving elderlies' health. HIKM 2011, 11:120.
22. Ash J.S., Berg M., Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics Association 2004, 11:104-112.
23. Akyildiz I.F., Su W., Sankarasubramaniam Y., Cayirci E. Wireless sensor networks: a survey. Computer Networks 2002, 38:393-422.
24. Egbogah E.E., Fapojuwo A.O. A survey of system architecture requirements for health care-based wireless sensor networks. Sensors 2011, 11:4875-4898.
25. Ko J., Lu C., Mani S.B., Stankovic J.A., Terzis A., Welsh M. Wireless sensor networks for healthcare. Proceedings of the IEEE 2010, 98:1947-1960.
26. Lo B., Thiemjarus S., King R., Yang G.Z. Body sensor network - a wireless sensor platform for pervasive healthcare monitoring. Adjunct Proceedings of the 3rd International Conference on Pervasive Computing, May 2005.
27. RadiotherapyGrid: http://www.beingrid.eu/radiotherapygrid.html.
28. neuGRID: http://neugrid.healthgrid.org/.
29. Brady J.M., et al. e-DiaMoND: a grid-enabled federated database of annotated mammograms. Grid Computing: Making the Global Infrastructure a Reality 2003, 923-943. Wiley, New York. F. Berman, G.C. Fox, A.J.G. Hey (Eds.).
30. Simpson A., Power D., Slaymaker M., Politou E. G.I.M.I. Generic Infrastructure for Medical Informatics. Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) 2005.
31. Kaur P.D., Chana I. Unfolding the distributed computing paradigms, ace. 2010 International Conference on Advances in Computer Engineering 2010, 339-342.
32. Kuo A.M., Opportunities Challenges of cloud computing to improve health care services. Journal of Medical Internet Research 2011, 13(3):e67.
33. Pandey S., Voorsluys W., Niu S., Khandoker A., Buyya R. An autonomic cloud environment for hosting ECG data analysis services,. Future Generation Computer Systems 2012, 28(January (1)):147-154.
34. Vecchiola C., Chu X., Buyya R., Aneka A. Software platform forNET-based cloud computing. IOS 2009, 267-295.
35. Nathan D.M., Buse J.B., Davidson M.B., et al. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy; a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2009, 32:193-203. American Diabetes Association; European Association for the Study of Diabetes.
36. Gabbay K.H., Hyperglycemia Polyol metabolism, and complications of diabetes mellitus. Annual Review of Medicine 1975, 26:521-536.
37. Shepard D. A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the ACM 23rd National Conference 1968, 517-523.
38. Lan Z., Zheng Z., Li Y. Toward automated anomaly identification in large-scale systems. IEEE Transactions on Parallel and Distributed Systems 2010, 21(February (2)).
39. Wold S., Esbensen K., Geladi P. Principal component analysis. Chemometrics and Intelligent Laboratory Systems 1987, 2:37-52.
40. Miranda A.A., Borgne Y., Le A., Bontempi G. New routes from minimal approximation error to principal components. Neural Processing Letters 2008, 27(Number 3/June). Springer.
41. Cover T., Hart P. Nearest neighbor pattern classification. IEEE Transactions on Information Theory 1967, 13(1):21-27.
42. Duda R., Hart P., Stork D. Pattern Classification 2001, Wiley-Interscience, New York, NY. second ed.
43. Harper P.R. A review and comparison of classification algorithms for medical decision making. Health Policy 2005, 71(3):315-331.
44. Domingo P., Pazzani M. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 1997, 29(2-3):103-130.
45. Brockwell P.J., Davis R.A. Introduction to Time Series and Forecasting 2002, Springer. second ed.
46. Montgomery D.C., Johnson L.A., Gradiner J.S. Forecasting Time Series Analysis 1990, McGraw Hill.
47. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H. The Weka data mining software: an update. SIGKDD Explorations 2009, 11.
48. Foster I., Kesselman C., Nick J.M., Tuecke S. Grid services for distributed system integration. IEEE Computer 2002, 35(6).
49. Sokolova M., Lapalme G. A systematic analysis of performance measures for classification tasks. Information Processing and Management 2009, 45:427-437.