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Basic Concepts and Principles of Data Mining in Clinical Practice

Other Title
임상에서의 데이터 마이닝 개념과 원칙
Authors
이, 선미; 박, 래웅
Citation
Taehan Ŭiryo Chŏngbo Hakhoe chi, 15(2):175-189, 2009
Journal Title
Taehan Ŭiryo Chŏngbo Hakhoe chi; Journal of Korean Society of Medical Informatics; 대한의료정보학회지
ISSN
1225-8903
Abstract
Recently, many hospitals have been adopting clinical data warehouses (CDW) as well as electronic medical records. These new hospital information systems are inevitably introducing very large amounts of clinical data that might be useful for further analysis. However, the electronic clinical data in the CDW are usually byproducts of clinical practice rather than the product of research. Therefore, they include inconsistent and sometimes erroneous information that might not have the specific context of the clinical situations. Data miners usually have various academic backgrounds such as electronics, informatics, statistics, biomedicine, and public health. If the complex situations surrounding the clinical data are not well understood, investigators performing data mining in clinical fields may have problems assessing the information they are confronted with. Here, we would like to introduce some basic concepts on the principles of data mining in clinical fields including legal and ethical considerations as well as technical concerns.
Keywords
Clinical Data MiningMachine Learning
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Medical Informatics
AJOU Authors
박, 래웅
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