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

Cooper GF, Buchanan BG, Kayaalp M, Saul M, Vries JK. Using computer modeling to help identify patient subgroups in clinical data repositories. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (1998) 180-184.  PMID:  9929206

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 ofinterest.

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 ofpatients who have venous thrombosis.

RESULTS: The results indicate that computer modeling enhances the identification ofpatient cases of interest.

Publication Year: 
1998
Faculty Author: 
Publication Credits: 
Cooper GF, Buchanan BG, Kayaalp M, Saul M, Vries JK.
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