Call for Paper - November 2019 Edition
IJCA solicits original research papers for the November 2019 Edition. Last date of manuscript submission is October 21, 2019. Read More

Towards the Application of Big Data: A New Way to make Data Driven Healthcare Decision

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Tanvir Ahammad, Md. Sajib Al Mamun, Mehnaz Tabassum
10.5120/ijca2016908094

Tanvir Ahammad, Md. Sajib Al Mamun and Mehnaz Tabassum. Article: Towards the Application of Big Data: A New Way to make Data Driven Healthcare Decision. International Journal of Computer Applications 134(14):15-21, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Tanvir Ahammad and Md. Sajib Al Mamun and Mehnaz Tabassum},
	title = {Article: Towards the Application of Big Data: A New Way to make Data Driven Healthcare Decision},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {134},
	number = {14},
	pages = {15-21},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In era of Big Data, large amounts of both structured and unstructured (also semi-structured) data are growing exponentially because of using social media, smart phones, archives and remote sensors. Most of these (approx. 80-90% data) are unstructured, commonly found in textual form and difficult to process using conventional database and software techniques. These large amounts of unstructured as well as complex data are giving new opportunities to the business organizations, governments, and researchers. Successful harnessing of Big Data provides valuable insights; improves data-driven decision making in healthcare, manufacturing, education, stock marketing, banking and insurance, agriculture, weather forecasting, travel and transportation, telecommunication, sports, and entertainment. This paper aims to emphasize on Big Data application and demonstrates that the analysis of healthcare data paves the way to make a better healthcare decision, reduce cost, and raise healthcare consciousness. The experimental analysis has been accomplished with a proposed methodology based on existing Text Mining and Natural Language Processing (NLP) techniques.

References

  1. J. Han, M. Kamber and J. Pie,"Introduction," in Data Mining: Concepts and Techniques, 3rd ed., New York, Elsevier Inc., 2012, pp. 1-38.
  2. B. Nedelcu, "About Big Data and its Challenges and Benefits in Manufacturing," Database Syst. J., vol. IV, no. 3, pp. 10-19, 2013.
  3. S. Sagiroglu and D. Sinanc, "Big Data: A Review," in Int. Conf. on Collaboration Technologies and Syst., San Diego, CA, 2013, pp. 42-47.
  4. Data Growth, Business Opportunities, and the IT Imperatives, http://www.emc.com/leadership/digital-universe/,[Accessed 8 November 2014].
  5. Big Data and analytics, http://www-01.ibm.com, [Accessed 8 November 2014].
  6. J. Yan, "Big Data, Bigger Opportunities," MeriTalk: The Government IT Network, Washington, D.C., 2013.
  7. Y. Koumpouros, "Big Data in Healthcare," in Healthcare Administration: Concepts, Methodologies, Tools, and Applications, Pennsylvania, IGI Global, 2015, ch. 2, pp. 23-46.
  8. P. Groves, B. Kayyali, D. K. Knott and Stev, " The big data revolution in healthcare: Accelerating value and innovation," MGI, San Francisco, 2013.
  9. H. V. d. S. Jr., "MIT Technology Review: Data-Driven Healthcare," MIT Technology, Cambridge, 2014.
  10. Five Reasons Healthcare Data Is Unique and Difficult to Measure,HealthCatalyst, https://www.healthcatalyst.com, [Accessed 28 January 2015].
  11. Gate tools, https://gate.ac.uk/, [Accessed 28 January 2015].
  12. PatientsLikeMe, https://www.patientslikeme.com, [Accessed 5 May 2015].
  13. All diseases symptoms and medicines, http://www.nlm.nih.gov/medlineplus, [Accessed 5 May 2015].

Keywords

Knowledge Discovery from Healthcare Text, KDHT.