Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services

Big Data Research

Volumn 4, Issue , 2016, Pages 44-58

  Sakr, Sherif ^a,b   Elgammal, Amal ^c  

^a KING SAUD BIN ABDULAZIZ UNIVERSITY FOR HEALTH SCIENCES   (Saudi Arabia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD ANALYTICS; DIGITAL STORAGE; HEALTH CARE; PATIENT MONITORING;

ANALYTICAL DECISIONS; APPLICATIONS DOMAINS; BUSINESS COMMUNITY; DATA ANALYTICS; DATA CHALLENGES; GAINING MOMENTUM; HEALTHCARE SERVICES; HEALTHCARE SYSTEMS; PATIENT MONITORING SYSTEMS; SENSING TECHNOLOGY;

BIG DATA;

EID: 84989911362     PISSN: None     EISSN: 22145796     Source Type: Journal    
DOI: 10.1016/j.bdr.2016.05.002     Document Type: Article

References (76)

1. [1] Gartner top ten disruptive technologies for 2008 to 2012: emerging trends and technologies roadshow. Technical report, 2008, Gartner.
2. [2] Alam, Sarfraz, Chowdhury, Mohammad M.R., Senaas, Josef Noll, An event-driven sensor virtualization approach for internet of things cloud. Proceedings of the IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA, 2010, 1–6.
3. [3] Alamri, Atif, Ansari, Wasai Shadab, Hassan, Mohammad Mehedi, Hossain, M. Shamim, Alelaiwi, Abdulhameed, Anwar Hossain, M., A survey on sensor-cloud: architecture, applications, and approaches. Int. J. Distrib. Sens. Netw., 2013, 2013.
4. [4] Arami, Arash, Vallet, Axelle, Aminian, Kamiar, Accurate measurement of concurrent flexion–extension and internal–external rotations in smart knee prostheses. IEEE Trans. Biomed. Eng. 60:9 (2013), 2504–2510.
5. [5] Armbrust, Michael, Fox, O., Griffith, Rean, Joseph, Anthony D., Katz, Y., Konwinski, Andy, Lee, Gunho, Patterson, David, Rabkin, Ariel, Stoica, Ion, et al. Above the clouds: a Berkeley view of cloud computing., 2009.
6. [6] Atzori, Luigi, Iera, Antonio, Morabito, Giacomo, The internet of things: a survey. Comput. Netw. 54:15 (2010), 2787–2805.
7. [7] Avrunin, G.S., Clarke, L.A., Osterweil, L.J., Goldman, J.M., Rausch, T., Smart checklists for human-intensive medical systems. IEEE/IFIP 42nd International Conference on Dependable Systems and Networks Workshops, DSN-W, 2012, 1–6.
8. [8] Ayan Banerjee, Sandeep K.S. Gupta, Georgios Fainekos, Georgios Varsamopoulos. Towards modeling and analysis of cyber-physical medical systems, 2011.
9. [9] Bizer, Christian, Boncz, Peter, Brodie, Michael L., Erling, Orri, The meaningful use of big data: four perspectives–four challenges. ACM SIGMOD Rec. 40:4 (2012), 56–60.
10. [10] Brownstein, John S., Freifeld, Clark C., Madoff, Lawrence C., Digital disease detection, harnessing the web for public health surveillance. N. Engl. J. Med. 360:21 (2009), 2153–2157.
11. [11] Burke, Jason, Health Analytics: Gaining the Insights to Transform Health Care. 1st edition, July 2013, Wiley.
12. [12] Caballero, Benjamin, Clay, Theresa, Davis, Sally M., Ethelbah, Becky, Holy Rock, Bonnie, Lohman, Timothy, Norman, James, Story, Mary, Stone, Elaine J., Stephenson, Larry, et al. Pathways: a school-based, randomized controlled trial for the prevention of obesity in American Indian schoolchildren. Am. J. Clin. Nutr. 78:5 (2003), 1030–1038.
13. [13] Callisaya, Michele L., Blizzard, Leigh, Schmidt, Michael D., McGinley, Jennifer L., Srikanth, Velandai K., Ageing and gait variability, a population-based study of older people. Age Ageing 39 (2010), 191–197.
14. [14] Carneiro, Herman Anthony, Mylonakis, Eleftherios, Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin. Infect. Dis. 49:10 (2009), 1557–1564.
15. [15] Dean, Jeffrey, Ghemawat, Sanjay, Mapreduce: simplified data processing on large clusters. Commun. ACM 51:1 (2008), 107–113.
16. [16] Don, S., Dugki, M., Medical cyber physical systems and bigdata platforms. The Medical Cyber Physical Systems Workshop, 2013.
17. [17] Drouin, Jean P., Hediger, Viktor, Henke, Nicolaus, Health care costs: a market-based view. McKinsey Q., September 2008.
18. [18] Erl, Thomas, Puttini, Ricardo, Mahmood, Zaigham, Cloud Computing: Concepts, Technology, & Architecture. 2013, Pearson Education.
19. [19] Gellersen, Hans W., Schmidt, Albercht, Beigl, Michael, Multi-sensor context-awareness in mobile devices and smart artifacts. Mob. Netw. Appl. 7:5 (2002), 341–351.
20. [20] Goodchild, M., Citizens as sensors: the world of volunteered geography. GeoJournal 69:4 (2007), 211–221.
21. [21] Christian Hagist, Laurence J. Kotlikoff, Health care spending: what the future will look like, 2006.
22. [22] Ahsanul Haque, Shah, Aziz, Syed Mahfuzul, Rahman, Mustafizur, Review of cyber-physical system in healthcare. Int. J. Distrib. Sens. Netw., 2014, 2014.
23. [23] Lee, I-Min, Shiroma, Eric J., Lobelo, Felipe, Puska, Pekka, Blair, Steven N., Katzmarzyk, Peter T., Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380:9838 (July 2012), 219–229.
24. [24] Insup, Lee, Sokolsky, O., Sanjian, Chen, Hatcliff, J., Eunkyoung, Jee, BaekGyu, Kim, King, A., Mullen-Fortino, M., Soojin, Park, Roederer, A., Venkatasubramanian, K.K., Challenges and research directions in medical cyber physical systems. Proc. IEEE 100:1 (2012), 75–90.
25. [25] Jencks, Stephen F., Williams, Mark V., Coleman, Eric A., Rehospitalizations among patients in the medicare fee-for-service program. N. Engl. J. Med. 360:14 (2009), 1418–1428.
26. [26] Kailanto, H., Hyvarinen, E., Hyttinen, J., Mobile ECG measurement and analysis system using mobile phone as the base station. Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008, 2008, 12–14.
27. [27] Kang, W., Adaptive real-time data management for cyber-physical systems. Thesis, 2009.
28. [28] Kayyali, Basel, Knott, David, Van Kuiken, Steve, The Big-Data Revolution in us Health Care: Accelerating Value and Innovation. 2013, Mc Kinsey & Company.
29. [29] Konstantas, D., Herzog, R., Continuous monitoring of vital constants for mobile users: the MobiHealth approach. Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 4, 2003, 3728–3731.
30. [30] Kopetz, Hermann, Internet of things. Real-Time Systems, 2011, 307–323.
31. [31] Kraska, Tim, Talwalkar, Ameet, Duchi, John C., Griffith, Rean, Franklin, Michael J., Jordan, Michael I., MLbase: a distributed machine-learning system. CIDR, 2013.
32. [32] Kyoung-Don, Kang, Son, S.H., Stankovic, J.A., Managing deadline miss ratio and sensor data freshness in real-time databases. IEEE Trans. Knowl. Data Eng. 16:10 (2004), 1200–1216.
33. [33] Lee, Edward A., Cyber physical systems: design challenges. Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing, ISORC '08, 2008, IEEE Computer Society, Washington, DC, USA, 363–369.
34. [34] Lee, Insup, Sokolsky, Oleg, Chen, Sanjian, Hatcliff, John, Jee, Eunkyoung, Kim, BaekGyu, King, Andrew, Mullen-Fortino, Margaret, Park, Soojin, Roederer, Alex, et al. Challenges and research directions in medical cyber-physical systems. Proc. IEEE 100:1 (2012), 75–90.
35. [35] Liang, Hu, Nannan, Xie, Zhejun, Kuang, Kuo, Zhao, Review of cyber-physical system architecture. Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW, 2012, 25–30.
36. [36] Malewicz, Grzegorz, Austern, Matthew H., Bik, Aart J.C., Dehnert, James C., Horn, Ilan, Leiser, Naty, Czajkowski, Grzegorz, Pregel: a system for large-scale graph processing. Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010, 135–146.
37. [37] Manyika, James, Chui, Michael, Brown, Brad, Bughin, Jacques, Dobbs, Richard, Roxburgh, Charles, Hung Byers, Angela, McKinsey Global Institute, Big data: the next frontier for innovation, competition, and productivity., 2011.
38. [38] Marx, Vivien, Biology: the big challenges of big data. Nature 498:7453 (2013), 255–260.
39. [39] Massé, Fabien, Van Bussel, Martien, Serteyn, Aline, Arends, Johan, Penders, Julien, Miniaturized wireless ECG monitor for real-time detection of epileptic seizures. ACM Trans. Embed. Comput. Syst., 12(4), 2013, 102.
40. [40] McCaffrey, Colm, Chevalerias, Olivier, O'Mathuna, Cian, Twomey, Karen, Swallowable-capsule technology. IEEE Pervasive Comput. 7:1 (2008), 23–29.
41. [41] McGrath, Michael J., Ni Scanaill, Cliodhna, Sensor Technologies: Healthcare, Wellness and Environmental Applications. 2013, Apress.
42. [42] McLachlan, Michael J., Katzenellenbogen, John A., Zhao, Huimin, A new fluorescence complementation biosensor for detection of estrogenic compounds. Biotechnol. Bioeng. 108:12 (2011), 2794–2803.
43. [43] Melnik, Sergey, Gubarev, Andrey, Long, Jing Jing, Romer, Geoffrey, Shivakumar, Shiva, Tolton, Matt, Vassilakis, Theo, Dremel: interactive analysis of web-scale datasets. Proc. VLDB Endow. 3:1–2 (2010), 330–339.
44. [44] Mendez, E.O., Shangping, Ren, Design of cyber-physical interface for automated vital signs reading in electronic medical records systems. IEEE International Conference on Electro/Information Technology, EIT, 2012, 1–10.
45. [45] Meng, Jing, Liang, Dong, Song, Liang, Compressed sensing photoacoustic tomography in vivo in time and frequency domains. IEEE–EMBS International Conference on Biomedical and Health Informatics, BHI, 2012, 717–720.
46. [46] Miller, Robert E., Reisinger, Keith S., Blatter, Mark M., Wucher, Frederick, Pediatric counseling and subsequent use of smoke detectors. Am. J. Publ. Health 72:4 (1982), 392–393.
47. [47] Murdoch, Travis B., Detsky, Allan S., The inevitable application of big data to health care. JAMA 309:13 (2013), 1351–1352.
48. [48] Ning, Huansheng, Unit and Ubiquitous Internet of Things. 2013, CRC Press.
49. [49] Park, Sungmee, Jayaraman, Sundaresan, Enhancing the quality of life through wearable technology. IEEE Eng. Med. Biol. Mag. 22:3 (2003), 41–48.
50. [50] Pavlo, Andrew, Paulson, Erik, Rasin, Alexander, Abadi, Daniel J., DeWitt, David J., Madden, Samuel, Stonebraker, Michael, A comparison of approaches to large-scale data analysis. Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, 2009, 165–178.
51. [51] Plummer, Daryl C., Bittman, Thomas J., Austin, Tom, Cearley, David W., Smith, David Mitchell, Cloud computing: defining and describing an emerging phenomenon. Gartner, 17, 2008.
52. [52] Provost, Foster, Fawcett, Tom, Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. 2013, O'Reilly Media.
53. [53] M. Quin, Predicting vital signs, 2014.
54. [54] Raghupathi, Wullianallur, Raghupathi, Viju, Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst., 2(1), 2014, 3.
55. [55] Sherif Sakr, Gaber, Mohamed, Large Scale and Big Data: Processing and Management. 2014, CRC Press.
56. [56] Sherif Sakr, Liu, Anna, Batista, Daniel M., Alomari, Mohammad, A survey of large scale data management approaches in cloud environments. IEEE Commun. Surv. Tutor. 13:3 (2011), 311–336.
57. [57] Sherif Sakr, Liu, Anna, Fayoumi, Ayman G., The family of mapreduce and large-scale data processing systems. ACM Comput. Surv., 46(1), 2013, 11.
58. [58] Sheth, Amit, Anantharam, Pramod, Henson, Cory, Physical-cyber-social computing: an early 21st century approach. IEEE Intell. Syst. 28 (2013), 78–82.
59. [59] Victor Shnayder, Bor-rong Chen, Konrad Lorincz, Thaddeus R.F. Fulford Jones, Matt Welsh, Sensor networks for medical care, 2005.
60. [60] Staten, James, Yates, Simon, Gillett, Frank E., Saleh, Walid, Dines, Rachel A., Is cloud computing ready for the enterprise. Forrester Res., 7, 2008.
61. [61] Tilak, Sameer, Real-world deployments of participatory sensing applications: current trends and future directions. ISRN Sens. Netw., 2013, 2013.
62. [62] Uzor, Stephen, Baillie, Lynne, Exploring & designing tools to enhance falls rehabilitation in the home. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2013, 1233–1242.
63. [63] Vaquero, Luis M., Rodero-Merino, Luis, Caceres, Juan, Lindner, Maik, A break in the clouds: towards a cloud definition. Comput. Commun. Rev. 39:1 (2008), 50–55.
64. [64] Vegoda, Paul, Introducing the IHE (integrating the healthcare enterprise) concept. J. Healthc. Inf. Manag., 16(1), 2002, 22.
65. [65] Venkatasubramanian, K.K., Nabar, S., Gupta, S.K.S., Poovendran, R., Cyber physical security solutions for pervasive health monitoring systems. E-Healthcare Systems and Wireless Communications: Current and Future Challenges, 2012, IGI Global.
66. [66] Wang, J., Abid, H., Lee, S., Shu, L., Xia, F., A secured health care application architecture for cyber-physical systems. Control Eng. Appl. Inform. 13:3 (2011), 101–108.
67. [67] Wang, Jin, Abid, Hassan, Lee, Sungyoung, Shu, Lei, Xia, Feng, A secured health care application architecture for cyber-physical systems. arXiv:1201.0213, 2011.
68. [68] Weber, Rolf H., Weber, Romana, Internet of Things. 2010, Springer.
69. [69] Weigel, Van B., Deep Learning for a Digital Age: Technology's Untapped Potential to Enrich Higher Education. 2002, ERIC.
70. [70] Wood, A., Stankovic, J.A., Virone, G., Selavo, L., Zhimin, He, Cao, Qiuhua, Doan, Thao, Yafeng, Wu, Lei, Fang, Stoleru, R., Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Netw. 22:4 (2008), 26–33.
71. [71] Wu, Fang-Jing, Kao, Yu-Fen, Tseng, Yu-Chee, From wireless sensor networks towards cyber physical systems. Pervasive Mob. Comput. 7:4 (2011), 397–413.
72. [72] Yang, Chin-Lung, Huang, Song-Jeng, Chou, Cheng-Wei, Chiou, Yan-Chao, Lin, Kun-Piao, Tsai, Min-Shiun, Young, Kung-Chia, Design and evaluation of a portable optical-based biosensor for testing whole blood prothrombin time. Talanta 116 (2013), 704–711.
73. [73] Yang, Li, Chao, Wu, Li, Guo, Chun-Hsiang, Lee, Yike, Guo, Wiki-Health: A Big Data Platform for Health Sensor Data Management. 2014, IGI Global, Hershey, PA, USA, 59–77.
74. [74] Yuriyama, Madoka, Kushida, Takayuki, Sensor-cloud infrastructure – physical sensor management with virtualized sensors on cloud computing. Proceedings of the 13th International Conference on Network-Based Information Systems, NBiS, 2010, 1–8.
75. [75] Zhang, Hao, Chen, Gang, Chin Ooi, Beng, Tan, Kian-Lee, Zhang, Meihui, In-memory big data management and processing: a survey. IEEE Trans. Knowl. Data Eng. 27:7 (2015), 1920–1948.
76. [76] Zhaoyang, Zhang, Honggang, Wang, Chonggang, Wang, Hua, Fang, Interference mitigation for cyber-physical wireless body area network system using social networks. IEEE Trans. Emerg. Top. Comput. 1:1 (2013), 121–132.