CFP last date
01 January 2025
Call for Paper
February Edition
CAE solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 01 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Property (Land) Registration Management Using Blockchain in Nigeria

A. Festus Osuolale Ojebiyi David-Daniel Seriki Oluwasogo
Random Articles
Reseach Article

Towards a Big Data Architectural Framework for Healthcare in Ghana

by Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 12
Year of Publication: 2018
Authors: Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur
10.5120/cae2018652735

Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur . Towards a Big Data Architectural Framework for Healthcare in Ghana. Communications on Applied Electronics. 7, 12 ( Jan 2018), 1-6. DOI=10.5120/cae2018652735

@article{ 10.5120/cae2018652735,
author = { Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur },
title = { Towards a Big Data Architectural Framework for Healthcare in Ghana },
journal = { Communications on Applied Electronics },
issue_date = { Jan 2018 },
volume = { 7 },
number = { 12 },
month = { Jan },
year = { 2018 },
issn = { 2394-4714 },
pages = { 1-6 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume7/number12/792-2018652735/ },
doi = { 10.5120/cae2018652735 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T20:03:27.866317+05:30
%A Edem Adjei
%A Nana Kwame Gyamfi
%A David Otoo-Arthur
%T Towards a Big Data Architectural Framework for Healthcare in Ghana
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 12
%P 1-6
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data is deemed as a gold mine if and only if it is analyzed and utilize. The healthcare system is one of the largest generators of data due to strict adherence to regulatory structure. Unfortunately, Big Data deployment in the healthcare industry has not catch up in Ghana and Africa at large. Big Data in healthcare has enormous benefits including the designing of Predictive models, analyzing disease patterns and tracking disease outbreaks, turning large data into actionable information, Evidence based health delivery through data analysis and Capture and analyze real time data from variety of locations. To achieve above mentioned potentials of Big Data, this thesis has taken a look at the structure of Big Data, which has led to the development of an architectural framework that will fit into the system Ghanaian healthcare system and how the variety of data will be handled and stored. A framework which will serve as a platform for data analytics in the Healthcare industry is also proposed. Finally, we propose a framework which will handle the new data generating devices used by health facilities that is the structured and unstructured data types.

References
  1. World Health Organization, "http://www.who.int/universal_health_coverage/en/," 8 August 2015. [Online]. Available: http://www.who.int.
  2. R. Wullianallur, "Data Mining in Health Care. In health informatics. Improving efficiency and productivity, Edited by Kudyba S. Taylor and Francis," 2014.
  3. Ghana Statistical Service, "National Population Projection 2010 to 2014," Ghana Statistical Service, Accra, 2014.
  4. IBM, "IBM," [Online]. Available: http://www-1.ibm.com/software/data/bigdata/industry-healthcare.html. [Accessed November 2014].
  5. Microsoft, "Microsoft," [Online]. Available: https://msdn.microsoft.com/en-us/library/cc645993.aspx. [Accessed 10 February 2015].
  6. T. Firat and A. John Keane, "Big Data Framework," IEEE Computer Society, pp. 1494-1499, 2013.
  7. S. Pandey and V. Tokekar, "Prominence of MapReduce in Big Data Processing," IEEE Computer Society, pp. 555-560, 2014.
  8. Ghana Broadcasting Corporation , "GBC," [Online]. Available: http://gbcghana.com/1.1922464. [Accessed 22 January 2015].
  9. Minstry of Finance, Ghana, "PIPELINE PROJECTS," Ministry of Finance, Ghana, Accra, 2012.
  10. St. Martin De Porres Hospital, "2010 ANNUAL REPORT," National Catholic Health Services , Agomanya, ER, 2010.
  11. Ghana Health Service , "2010 GHS Facts and Figures," Ghana Health Service, Accra, 2010.
  12. R. Wullianallur and V. Raghupathi, "Big Data analytics in healthcare: promise and potential," Health Information Science and Systems , 2014.
  13. /www.ispor.org, "www.ispor.org," [Online]. Available: http://www.ispor.org/meetings/montreal0614/presentations/africa-forum.pdf. [Accessed 7 June 2015].
  14. N. Patel, P. Narenda, M. Hasan, S. Parth and P. Mayur, "Improving HDFS write performance using efficient relica placement," IEEE, pp. 36-39, 2014.
  15. R. Liu, L. Qicheng, L. Feng, L. Mei and L. J. Lee, "Big Data Architecture for IT Incident Management," IEEE, pp. 424-429, 2014.
  16. D. R. Sara, V. Lopez, M. Jose and F. Herrera, "On the use of MapReduce for imbalanced big data using Random forest," Elsevier - Information Science, pp. 112-137, 2014.
  17. IBM, "Infoshere," 23 June 2015. [Online]. Available: https://www-01.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.jaql.doc/doc/c0057749.html .
  18. apache.org, "Hive," 23 June 2015. [Online]. Available: https://hive.apache.org/.
  19. Y. Demchenko, C. d. Laat and P. Membrey, "Defining Architecture Component of Big Data Ecosystem," IEEE, pp. 104-112, 2014.
  20. G. Katarina, M. Hayes, W. A. Higashino, A. L'Heureux and M. Capretz, "Challenges for MapReduce in Big Data," IEEE Computer Society, pp. 182-188, 2014.
  21. R. Lu, H. Zhu, X. Liu, J. Liu and J. Shao, "Towards efficient and privacy-preserving Computing in Big Data," IEEE Network, pp. 46-50, 2014.
  22. O. Mehmet and B. Mustafa, "Big Data Challeneges in Information Engineeering Curriculum," IEEE, 2014.
  23. P. Zadrozny and R. Kodali, Big Data Analytics Using Splung, Berkley CA, USA: Apress, 2013.
  24. McKinsey GLobal Institue, "Big data: The next frontier," 2011.
  25. T. H. Davenport, "At the Big Data Crossroads:turning towards a smarter travel experience," Amadeus IT Group, 2013.
  26. B. Vorhies, "Data Magnum," [Online]. Available: http://data-magnum.com/how-many-vs-in-big-data-the-characteristics-that-define-big-data. [Accessed 10 May 2015].
  27. R. Lui, Q. Li and J. Lee, "Big Data Architecture for IT Incident Management," IEEE, pp. 424-429, 2014.
  28. M. Wigan and R. Clark, "BIg Data's Big Unintended Consequences," IEEE Computer Society , pp. 46-53, 2013.
  29. apache.org, "cwiki.apache.org," 2013 JUne 2015. [Online]. Available: https://cwiki.apache.org/confluence/display/Hive/Home;jsessionid=19F58B7B013C7CC06A3E5FE23C477B2D .
  30. apache.org, "Hbase," 23 June 2015. [Online]. Available: http://hbase.apache.org/ .
  31. IBM, "Bigsql," 23 June 2015. [Online]. Available: http://www.ibm.com/developerworks/library/bd-bigsql/.
  32. teradata.com, "Big Data Reference Architecture," 23 June 2015. [Online]. Available: http://thinkbig.teradata.com/leading_big_data_technologies/big-data-reference-architecture/.
  33. bigdatawg.nist.gov, "bigdatawg.nist.gov," 23 June 2015. [Online]. Available: http://bigdatawg.nist.gov/_uploadfiles/M0055_v1_7606723276.pdf.
  34. X. Li, F. Zhang and Yongliang, "Resreach on Big Data Architecture, Key Technologies and its Measures," IEEE, pp. 1-4, 2013.
  35. E. Dede and e. al, "A processing pipeline for cassandra Datasets based on Hadoop streaming," IEEE International Congress om Big Data, pp. 168-175, 2014.
  36. Y. Xiaomeng, L. Fangming, L. Jiangchuan and H. Jin, "Building a Network Highway for Big Data: Architecture and Challenges," IEEE Network, pp. 5-12, 2014.
  37. C. Kai-Sang, R. K. MacKinnon and F. Jiang, "Reeducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data," IEEE internation Congress on Big Data, pp. 351-322, 2014.
  38. X. Cheng, C. Hu, Y. Li, W. Lin and H. Zuo, "Data Evolution Analysis of Virtual DataSpace for Managing the Big Data Cycle," IEEE, pp. 2054-2063, 2013.
  39. T.-W. Kim, K.-H. Park, S.-H. Yi and H.-C. Kim, "A Big Data Framwork for u-Healthcare Systems Utilizing Vital Signs," IEEE, pp. 494-497, 2014.
  40. J. Qian, P. Lv, X. Yue, C. Liu and Z. Jing, "Hierarchical attribute reduction algorithm for Big data using MapReduce," ELVEVIER, pp. 1-14, 2014.
  41. L. Gu, D. Zeng, L. Peng and S. Guo, "Cost minimization for Big Data Processing in Geo-Distribution Data Centers," IEEE, pp. 1-10, 2013.
  42. T. Gavrilova and M. Gladkova, "Big Data Structuring: The role of Visaul Models and Ontologies," ELSEVIER, pp. 336-343, 2014.
  43. S. delRio, V. Lopez, J. M. Benitez and F. Herrera, "On the use of MapReduce for imbalance big data using Random Forest," ELSEVIER, pp. 112-137, 2014.
  44. M. Wigan and R. Clarke, "Big Data's Big Unintended Consequences," IEEE, pp. 46-56, 2013.
  45. M. C.Okur and M. Buyukkececi, "Big Data challeneges in Information Engineering Curriculum," IEEE, 2014.
  46. A.Castigilione, M. Gribaudo, M. Iacono and F. Palmieri, "Exploiting mean field to model performance of Big data architectures," ELSEVIER, 2014.
  47. N. Sun, J. Morris, J. Xu, X. Zhu and M. Xie, "iCARE: A framework for big data-based banking customer analytics," IBM Coperation , 2014.
  48. T. White, "Comparism with other System - RDBMS," in Hadoop, The definitive Guide, Califinia , O'Reilly Media Inc., 2011, p. 5.
  49. M. Herland, T. Khosgoftaar and R. Wald, "A review of data mining using big data in health informatics," Journal of Big Data, 2014.
  50. S. O. Fadiya, S. Saydam and V. V. Zira, "Advancing big data for humanitarian needs," Elsevier, pp. 88-95, 2014.
  51. K. Kambatla, G. Kollias, V. Kumar and A. Grama, "Trends in Big Data Analytics," Elsevier, pp. 2561-1573, 2014.
  52. K. Ghani, K. Zheng, J. Wei and C. Friedman, "Harnessing Bog Data for Health Care and Research: Are Urologist Ready," Sciencedirect, pp. 975-977, 2014.
  53. Institute for Health Technology Transformation, "Transforming Healthcare through Big Data," 2013.
  54. B. Vorhies, "Data Magnum," [Online]. Available: http://data-magnum.com/how-many-vs-in-big-data-the-characteristics-that-define-big-data. [Accessed 10 May 2015].
Index Terms

Computer Science
Information Sciences

Keywords

Healthcare System framework Big Data structure and unstructured Data architectural framework

Powered by PhDFocusTM