Abstract
In paediatric cardiology a database is indispensable in order to conduct more extensive and detailed investigations. A database should contain large amounts of data since even the most ordinary information from medical history and status praesens of a patient provides better understanding of the disease. A particular problem is coding of information because of the difference between qualitative and quantitative information. In our study database served as ‘raw data’ in developing for diagnostic decisions in case of congenital heart disease (CHD). In this work we shall describe the collection of information/data (Part one) and the system of decision analysis in the process of diagnosing congenital heart disease (Part two). Large amounts of data, both qualitative and quantitative could be collected using following methods:
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1.
classification of data
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2.
coding of data by means of codex of chifres
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3.
storing (retrieving in large systems)
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4.
data processing using suitable statistical programmes (Part one).
Keywords
- Receiver Operating Characteristic
- Congenital Heart Disease
- Receiver Operating Characteristic Curve
- False Negative
- Correct Diagnosis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1991 Springer Science+Business Media Dordrecht
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Malčić, I., Ivančević, D. (1991). Databases and decision system for diagnosis of congenital heart disease. In: Meester, G.T., Pinciroli, F. (eds) Databases for Cardiology. Developments in Cardiovascular Medicine, vol 115. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3720-1_16
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DOI: https://doi.org/10.1007/978-94-011-3720-1_16
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