Purba, Jan Horas Veryady and Ratodi, Muhamad and Mulyana, Mumuh and Wahyoedi, Soegeng and Andriana, Ririn and K. Shankar, K. Shankar and Nguyen, Phong Thanh (2019) Prediction model in medical science and health care. International Journal of Engineering and Advanced Technology (IJEAT), 8 (6S3). pp. 815-818. ISSN 2249-8958
Muhamad Ratodi_jurnal_Prediction Model in Medical Science.pdf
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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.
Item Type: | Article |
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Creators: | Creators Email ["eprint_fieldname_creators_NIDN" not defined] Purba, Jan Horas Veryady UNSPECIFIED UNSPECIFIED Ratodi, Muhamad mratodi@uinsby.ac.id 2004038102 Mulyana, Mumuh UNSPECIFIED UNSPECIFIED Wahyoedi, Soegeng UNSPECIFIED UNSPECIFIED Andriana, Ririn UNSPECIFIED UNSPECIFIED K. Shankar, K. Shankar UNSPECIFIED UNSPECIFIED Nguyen, Phong Thanh UNSPECIFIED UNSPECIFIED |
Uncontrolled Keywords: | Healthcare; computer innovations; predictive analytics; prediction models |
Subjects: | 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance) |
Divisions: | Fakultas Psikologi dan Kesehatan |
Depositing User: | S.Pd.I Abdun Nashir |
Date Deposited: | 22 Mar 2022 03:17 |
Last Modified: | 19 Aug 2023 06:27 |
URI: | http://repository.uinsa.ac.id/id/eprint/2222 |