Data Mining in Health Care Sector: Literature Notes

Document Type

Conference Proceeding

Source of Publication

ACM International Conference Proceeding Series

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

First Page

63

Last Page

68

Disciplines

Computer Sciences

Keywords

Data Mining, Health-Care, KDD, Machine Learning

Scopus ID

85081088954

Indexed in Scopus

yes

Open Access

no

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