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Research Article | Open Access |

Using Business Intelligence Tools for Predictive Analytics in Healthcare System

Author 1: Mihaela-Laura IVAN Author 2: Mircea Raducu TRIFU Author 3: Manole VELICANU Author 4: Cristian CIUREA
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 5 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070527

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Abstract

The scope of this article is to highlight how healthcare analytics can be improved using Business Intelligence tools. Healthcare system has learned from the previous lessons the necessity of using healthcare analytics for improving patient care, hospital administration, population growth and many others aspects. Business Intelligence solutions applied for the current analysis demonstrate the benefits brought by the new tools, such as SAP HANA, SAP Lumira, and SAP Predictive Analytics. In detailed is analyzed the birth rate with the contribution of different factors to the world.

Keywords

Healthcare Analytics Business Intelligence tools SAP HANA SAP Lumira SAP Predictive Analytics Birth Rate Big Data

How to Cite this Article

IVAN, M., TRIFU, M. R., VELICANU, M., & CIUREA, C. (2016). Using Business Intelligence Tools for Predictive Analytics in Healthcare System. International Journal of Advanced Computer Science and Applications, 7(5). https://doi.org/10.14569/IJACSA.2016.070527

IVAN, Mihaela-Laura, et al.. "Using Business Intelligence Tools for Predictive Analytics in Healthcare System." International Journal of Advanced Computer Science and Applications, vol. 7, no. 5, 2016, https://doi.org/10.14569/IJACSA.2016.070527.

@article{IVAN2016,
  title     = {Using Business Intelligence Tools for Predictive Analytics in Healthcare System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {5},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Mihaela-Laura IVAN and Mircea Raducu TRIFU and Manole VELICANU and Cristian CIUREA},
  doi       = {10.14569/IJACSA.2016.070527},
  url       = {https://doi.org/10.14569/IJACSA.2016.070527}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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