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PubMed · 9929206

Using computer modeling to help identify patient subgroups in clinical data repositories.

G F Cooper·B G Buchanan·M Kayaalp·M Saul·J K Vries
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Abstract

OBJECTIVE: The ability to accurately and efficiently identify patient cases of interest in a hospital information system has many important clinical, research, educational and administrative uses. The identification of cases of interest sometimes can be difficult. This paper describes a two-stage method for searching for cases of interest. DESIGN: First, a Boolean search is performed using coded database variables. The user classifies the retrieved cases as being of interest or not. Second, based on the user-classified cases, a computer model of the patient cases of interest is constructed. The model is then used to help locate additional cases. These cases provide an augmented training set for constructing a new computer model of the cases of interest. This cycle of modeling and user classification continues until halted by the user. MEASUREMENTS: This paper describes a pilot study in which this method is used to identify the records of patients who have venous thrombosis. RESULTS: The results indicate that computer modeling enhances the identification of patient cases of interest.

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Bayes TheoremComputer SimulationHospital Information SystemsHumansInformation Storage and RetrievalIntensive Care UnitsMethodsPatientsPilot ProjectsVenous ThrombosisJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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G F Cooper, B G Buchanan, M Kayaalp, M Saul, J K Vries. 1998. Using computer modeling to help identify patient subgroups in clinical data repositories.. https://pubmed.ncbi.nlm.nih.gov/9929206/

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