Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods.

E Krusinska; A Babic; S Chowdhury; O Wigertz; G Bodemar; U Mathiesen

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PubMed · 1807621

Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods.

E Krusinska·A Babic·S Chowdhury·O Wigertz·G Bodemar·U Mathiesen

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Abstract

In clinical research data is often studied by a particular method without previous analysis of quality or semantic contents which could link clinical database and data analytical (e.g. statistical) procedures. In order to avoid bias caused by this situation, we propose that the analysis of medical data should be divided into two main steps. In the first one we concentrate on conducting the quality, semantic and structure analyses. In the second step our aim is to build an appropriate dictionary of data analysis methods for further knowledge extraction. Methods like robust statistical techniques, procedures for mixed continuous and discrete data, fuzzy linguistic approach, machine learning and neural networks can be included. The results may be evaluated both using test samples and applying other relevant data-analytical techniques to the particular problem under the study.

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Artificial Intelligence Data Interpretation, Statistical Databases, Factual Decision Making, Computer-Assisted Semantics Software Software Design Journal Article Research Support, Non-U.S. Gov't

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E Krusinska, A Babic, S Chowdhury, O Wigertz, G Bodemar, U Mathiesen. 1991. Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods.. https://pubmed.ncbi.nlm.nih.gov/1807621/

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