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Article
Data Mining in Health Care Sector: Literature Notes
ACM International Conference Proceeding Series
  • Ahed Abugabah, Zayed University
  • Ahmad Al Smadi, Xidian University
  • Alaa Abuqabbeh, Golden Gate University
Document Type
Conference Proceeding
Publication Date
11-23-2019
Abstract

© 2019 ACM. A standout amongst the most essential strides of the knowledge discovery in database KDD is data mining. Data mining is defined as a basic advance during the time spent learning discovery in databases in which understanding strategies are utilized in order to pattern discovery. Due to the huge amount of data available within the healthcare systems, data mining is important for the healthcare sector in the clinical and diagnosis diseases. However, data mining and healthcare organizations have developed some of dependable early discovery frameworks and different healthcare related frameworks from the clinical treatment and analysis information. The main motivation of this paper is to give a survey of data extraction in health care. In addition, the benefits and obstacles of the use of data extraction strategies in health care and therapeutic information have been thought.

ISBN
9781450372596
Publisher
Association for Computing Machinery
Disciplines
Keywords
  • Data Mining,
  • Health-Care,
  • KDD,
  • Machine Learning
Scopus ID
85081088954
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1145/3372422.3372451
Citation Information
Ahed Abugabah, Ahmad Al Smadi and Alaa Abuqabbeh. "Data Mining in Health Care Sector: Literature Notes" ACM International Conference Proceeding Series (2019) p. 63 - 68
Available at: http://works.bepress.com/ahed-abugabah/22/