지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 148 - 153 (6page)
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초록· 키워드
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Objectives: One of the most important functions for a medical practitioner while treating a patient is to study the patient’s complete medical history by going through all records, from test results to doctor’s notes. With the increasing use of technology in medicine, these records are mostly digital, alleviating the problem of looking through a stack of papers, which are easily misplaced, but some of these are in an unstructured form. Large parts of clinical reports are in written text form and are tedious to use directly without appropriate pre-processing. In medical research, such health records may be a good, convenient source of medical data; however, lack of structure means that the data is unfit for statistical evaluation. In this paper, we introduce a system to extract, store, retrieve, and analyse information from health records, with a focus on the Indian healthcare scene. Methods: A Python-based tool, Healthcare Data Extraction and Analysis (HEDEA), has been designed to extract structured information from various medical records using a regular expression-based approach. Results: The HEDEA system is working, covering a large set of formats, to extract and analyse health information. Conclusions: This tool can be used to generate analysis report and charts using the central database. This information is only provided after prior approval has been received from the patient for medical research purposes.
목차
등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
Dinu V / 2007 / Guidelines for the effective use of entity-attribute-value modeling for biomedical databases / Int J Med Inform 76(11-12):769~779
Harkema H / 2005 / Information extraction from clinical records / Proceedings of the 4th UK e-Science All Hands Meeting
Fette G / 2012 / Information extraction from unstructured electronic health records and integration into a data warehouse / Proceedings of the 57th Annual Meeting of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) :1237~1251
Atzmueller M / 2009 / A data warehousebased approach for quality management, evaluation and analysis of intelligent systems using subgroup mining / Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS) :372~377
Black N / 1996 / Why we need observational studies to evaluate the effectiveness of health care / BMJ 312(7040):1215~1218
Harkema H / 2005 / Information extraction from clinical records / Proceedings of the 4th UK e-Science All Hands Meeting
Fette G / 2012 / Information extraction from unstructured electronic health records and integration into a data warehouse / Proceedings of the 57th Annual Meeting of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) :1237~1251
Atzmueller M / 2009 / A data warehousebased approach for quality management, evaluation and analysis of intelligent systems using subgroup mining / Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS) :372~377
Black N / 1996 / Why we need observational studies to evaluate the effectiveness of health care / BMJ 312(7040):1215~1218
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