Mathematical Issues in Data Science and Applications for Health Care
Sitti Zuhaerah Thalhah1, Mohammad Tohir2, Phong Thanh Nguyen3, K. Shankar4, Robbi Rahim5
1Sitti Zuhaerah Thalhah, Institut Agama Islam Negeri Palopo, Indonesia.
2Mohammad Tohir, Department of Mathematics Education, Universitas Ibrahimy, Situbondo, Indonesia.
3Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
4K. Shankar, Department of Computer Applications, Alagappa University, India.
5Robbi Rahim, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia.
Manuscript received on 22 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 4153-4156 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15990982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1599.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For development in military applications, industrial and government the predictive analytics and decision models have long been cornerstones. In modern healthcare system technologies and big data analytics and modeling of multi-source data system play an increasingly important role. Into mathematical models in these domains various problems arising that can be formulated, by using computational techniques, sophisticated optimization and decision analysis it can be analyzed. This paper studies the use of data science in healthcare applications and the mathematical issues in data science.
Keywords: Applications, Decision Analysis, Data Science, Mathematical Models.
Scope of the Article: Healthcare Informatics