Applying sequential pattern mining to investigate cerebrovascular health outpatients' re-visit patterns.

ABSTRACT:

Background and objective

Increases in outpatients seeking medical check-ups are expanding the number of health examination data records, which can be utilized for medical strategic planning and other purposes. However, because hospital visits by outpatients seeking medical check-ups are unpredictable, those patients often cannot receive optimal service due to limited facilities of hospitals. To resolve this problem, this study attempted to predict re-visit patterns of outpatients.

Method

Two-phase sequential pattern mining (SPM) and an association mining method were chosen to predict patient returns using sequential data. The data were grouped according to the outpatients' personal information and evaluated by a discriminant analysis to check the significance of the grouping

SUBMITTER: Ou-Yang C 

PROVIDER: S-EPMC6042480 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature