Synthetically generated healthcare documents for classifier training

A data processing system adapted for synthetically generating health care forms for use in training a health care form classifier, the system comprising:

• a host computing platform comprising one or more computers, each with memory and one or processing units including one or more processing cores;
• and,
• a synthetic form generation module comprising computer program instructions enabled while executing in the memory of at least one of the processing units of the host computing platform to perform:
• receiving a multiplicity of electronic forms in memory of a host computing system;
• extracting data from a specific common field located in each of the forms;
• computing a statistical metric for the specific common field;
• synthetically generating a value for the specific common field according to the computed statistical metric;
• inserting the synthetically generated value into the specific common field of a training version of the electronic forms;
• and,
• persisting the training version of the electronic forms as part of a training data set for a classifier adapted to classify the multiplicity of electronic forms.

A computing device comprising a non-transitory computer readable storage medium having program instructions stored therein, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to perform a method for synthetically generating health care forms for use in training a health care form classifier, the instructions performing:

• receiving a multiplicity of electronic forms in memory of a host computing system;
• extracting data from a specific common field located in each of the forms;
• computing a statistical metric for the specific common field;
• synthetically generating a value for the specific common field according to the computed statistical metric;
• inserting the synthetically generated value into the specific common field of a training version of the electronic forms;
• and,
• persisting the training version of the electronic forms as part of a training data set for a classifier adapted to classify the multiplicity of electronic forms.