Prediction model in medical science and health care

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

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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
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

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