Evaluation and Measurement in Data Science in Medical Science and Healthcare
Mauliza1, Sulistyo Andarmoyo2, Nurmiati Muchlis3, K. Shankar4, Phong Thanh Nguyen5
1Mauliza, Department of Medicine, Universitas Malikussaleh, Indonesia.
2Sulistyo Andarmoyo, Universitas Muhammadiyah Ponorogo, Indonesia.
3Nurmiati Muchlis, Universitas Muslim Indonesia, Indonesia.
4K. Shankar, Department of Computer Applications, Alagappa University, India.
5Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3832-3836 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15050982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1505.0982S1119
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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: In the system of healthcare functioning well the data is very important factor. In the countries around the globe in the development of infrastructures of data over the past few years the huge strides have been made. To promote better health outcomes and to improve programs on the need to use this data the global health professionals place enhancing the pressure. Across the planet to support health systems to emphasis on data is emerging like a huge source of available data. It can say as the tsunami of data in both extent and scope. Due to sheer scale of this massive wave of information it is a challenging task to improve public health and support.
Keywords: Healthcare, Data, Global Health, Improve Programs.
Scope of the Article: Healthcare Informatics