Knowledge Discovery in Clinical Data
Taufik Muchtar1, Ismail Suardi Wekke2, Muhammad Shuhufi3, Abid Muhtarom4, Phong Thanh Nguyen5
1Taufik Muchtar, Politeknik ATIT Makassar, Indonesia.
2Ismail Suardi Wekke, Sekolah Tinggi Agama Islam Negeri Sorong, Indonesia
3Muhammad Shuhufi, Universitas Islam Negeri Alauddin Makassar, Indonesia
4AbidT Muhtarom, Islamic University of Lamongan, Indonesia.
5Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 1121-1124 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12930886S219/19©BEIESP | DOI: 10.35940/ijeat.F1293.0886S219
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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: The information about patients and their medical condition are stored in a large clinical database. In this data the different patterns and relationship give new medicinal learning. To find this hidden knowledge several methods and techniques are developed. The research proposed a data mining technique in huge clinical database for searching the relationships. This data mining technique is known as Knowledge Discovery in Databases. This research defines different methods and process of data mining in clinical database.
Keywords: Clinical Databases, Methodologies, Data Query, Cleaning, and Data Analysis, Data Warehousing.
Scope of the Article: Data Visualization