Universiti Teknologi Malaysia Institutional Repository

Challenge of text mining in clinical decision support system: Review

Abuazab, A. A. I. and Selamat, H. B. and Yusoff, R. B. C. M. (2017) Challenge of text mining in clinical decision support system: Review. Journal of Engineering and Applied Sciences, 12 (20). pp. 5261-5273. ISSN 1816-949X

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Official URL: http://medwelljournals.com/abstract/?doi=jeasci.20...

Abstract

This study provides an overview of work done by researchers in areas related to Semantic Text Mining (STM). This is particularly important since STM could be considered a generic technique which is applied to signal detection in the work presented and similarly, signal detection could be considered a generic problem which is solved using STM technique in the work presented. A closer look at the evolution and challenges to be addressed provides a good starting point in arriving at the solution framework. In the literature review also cover of NLP and predication diseases for general diseases not particular disease. The detail of Clinical Decision Support System (CDSS) and the research studies in the field converting unstructured medical data which doctor notes into structured medical data (NLP) and the research on prediction diseases framework regarding the aid of CDSS.

Item Type:Article
Uncontrolled Keywords:decision support system, medical data, NLP
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:Advanced Informatics School
ID Code:81305
Deposited By: Narimah Nawil
Deposited On:04 Aug 2019 11:34
Last Modified:04 Aug 2019 11:34

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