Volume 5, Issue 2 (Summer 2018)
jhbmi 2018, 5(2): 314-324 |
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Feizmanesh F, Safaei A A. Review of the Approaches and Techniques of Text Mining in Clinical Documentation. jhbmi 2018; 5 (2) :314-324
URL: http://jhbmi.ir/article-1-161-en.html
URL: http://jhbmi.ir/article-1-161-en.html
Assistant Professor, Computer engineering-software, Medical Informatics Dept., Faculty of Medical Sciences, Tarbiat Modares University Tehran, Tehran, Iran
Abstract: (5436 Views)
Introduction: With the extensive use of electronic medical records systems, a large amount of medical text data is produced daily in the hospitals and other medical environments that organizing this text information is important and necessary. Also, a need to automatically retrieve useful knowledge from this data to help clinicians is felt. In order to extract the hidden values in the medical text documents, text mining can be used in the field of health.
Methods: In this review study, SID, Magiran, Pubmed, ScienceDirect, IEEE, and Google Scholar databases were searched with the keywords including "Text Mining” AND "Medicine” ،"Clinical Text Mining” AND "Predict”،, "knowledge discovery in medical text” and "Text Mining for Medical and Healthcare” in the English databases and keywords such as "text mining” AND " Discovering Knowledge in Medicine” in the Persian databases. Then, all articles that somehow refer to Medical knowledge discovery and text mining applications in the field of health were selected.
Results: Text mining is one of the important and powerful techniques for extracting information from health information systems. Text mining in clinical data provides potential for new discoveries and it also improves efficiency and communication in hospital systems for doctors and hospital administrators.
Conclusion: Nowadays, text mining in clinical documentation, is one of the developed technologies for the discovery of medical knowledge that its use in medical databases is essential to achieving immediate access to important health resources, and its application can improve patient care and reduce medical costs.
Methods: In this review study, SID, Magiran, Pubmed, ScienceDirect, IEEE, and Google Scholar databases were searched with the keywords including "Text Mining” AND "Medicine” ،"Clinical Text Mining” AND "Predict”،, "knowledge discovery in medical text” and "Text Mining for Medical and Healthcare” in the English databases and keywords such as "text mining” AND " Discovering Knowledge in Medicine” in the Persian databases. Then, all articles that somehow refer to Medical knowledge discovery and text mining applications in the field of health were selected.
Results: Text mining is one of the important and powerful techniques for extracting information from health information systems. Text mining in clinical data provides potential for new discoveries and it also improves efficiency and communication in hospital systems for doctors and hospital administrators.
Conclusion: Nowadays, text mining in clinical documentation, is one of the developed technologies for the discovery of medical knowledge that its use in medical databases is essential to achieving immediate access to important health resources, and its application can improve patient care and reduce medical costs.
Keywords: Text mining in clinical documentation, Text mining applications, Medical knowledge Discovery, Information extraction
Type of Study: Narrative review articles |
Subject:
Special
Received: 2017/03/8 | Accepted: 2017/11/26
Received: 2017/03/8 | Accepted: 2017/11/26
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