SYSTEM AND METHODS FOR TRAJECTORY PATTERN RECOGNITION

摘要

A multiple imputation (MI) based fuzzy clustering with visualization-aided MI validation that improves the accuracy and the stability of identified patterns, generally the structure of HD data with missing values.

主权项

1. A computer-implemented method for visualizing pattern recognition of longitudinal data without changing the classification of the longitudinal data in high dimensional space for analyzing a heterogeneity effect, comprising the steps of:
receiving one or more datasets associated with a population, or sample thereof, of subjects, wherein the dataset includes a plurality of components and one or more attributes associated with each of the plurality of components; imputing missing attribute values into the one or more datasets based on a multiple imputation technique; identifying one or more trajectory patterns or one or more data clusters from the imputed datasets; performing a multiple imputation, based validation on one or more trajectory patterns or one or more data clusters; comparing data associated with one or more individual subjects to the one or more trajectory patterns or one or more data clusters; and illustrating, on a display device, the one or more trajectory patterns or one or more data clusters.