Loading

Prediction Model in Medical Science and Health Care
Jan Horas Veryady Purba1, Muhamad Ratodi2, Mumuh Mulyana3, Soegeng Wahyoedi4, Ririn Andriana5, K. Shankar6, Phong Thanh Nguyen7
1Jan Horas Veryady Purba, STIE Kesatuan Bogor, Indonesia.
2Muhamad Ratodi, Universitas Islam Negeri Sunan Ampel, Indonesia.
3Mumuh Mulyana, STIE Kesatuan Bogor, Indonesia.
4Soegeng Wahyoedi, Krida Wacana Christian University, Indonesia.
5Ririn Andriana, STIE Mahardhika Surabaya, Indonesia.
6K.Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
7Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 815-818 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11580986S319/19©BEIESP | DOI: 10.35940/ijeat.F1158.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: The healthcare part has seen an incredible advancement following the improvement of new computer innovations, and that pushed this region to deliver increasingly restorative information, that which brought forth different fields of research. Numerous endeavors are done to adapt to the blast of therapeutic information on one hand, and to acquire valuable learning from it then again. To help in making decisions and to extract useful knowledge this incited specialists to apply all the specialized developments like predictive analytics, learning algorithms, machine learning and predictive analytics. In medical science to determine the risk of building up a disease the prediction models are used so that it can enable early treatment or prevention of that disease. To markers of future disposition to a disease multiple or single analyses are used.
Keywords: Healthcare, Computer Innovations, Predictive Analytics, Prediction Models.
Scope of the Article: Regression and Prediction