System and Method For Grouping Medical Codes For Clinical Predictive Analytics

摘要

A system and method for grouping medical codes for clinical predictive analytics is provided. The system for predictive modeling using medical information comprising a computer system for electronically receiving a data set of medical diagnosis codes and applying indicator variables to the data set, the computer system allowing a user to define a target and one or more thresholds conditions, a supervised variable grouping engine executed by the computer system, said engine calculating, for each indicator variable, a vector length and a distance to a target vector, wherein each indicator variable initially forms a group, automatically combining two groups of indicator variables that satisfy threshold conditions to create a combined group, recalculating the combined group's vector length, distance to the target vector, and distance to vectors of other remaining groups, iteratively combining and recalculating until there are no two groups that satisfy the threshold conditions or until a satisfactory number of groups is formed; and generating an altered data set of medical code groupings with reduced dimensionality and inputting the altered data set into a predictive model.

主权项

1. A system for predictive modeling using medical information comprising:
a computer system for electronically receiving a data set of medical diagnosis codes and applying indicator variables to the data set, the computer system allowing a user to define a target and one or more thresholds conditions; a supervised variable grouping engine executed by the computer system, said engine:
calculating, for each indicator variable, a vector length and a distance to a target vector, wherein each indicator variable initially forms a group;automatically combining two groups of indicator variables that satisfy threshold conditions to create a combined group;recalculating the combined group's vector length, distance to the target vector, and distance to vectors of other remaining groups;iteratively combining and recalculating until there are no two groups that satisfy the threshold conditions or until a satisfactory number of groups is formed; andgenerating an altered data set of medical code groupings with reduced dimensionality and inputting the altered data set into a predictive model.