Data classification using machine learning techniques

Abstract

Systems, methods and computer program products for classifying documents are presented. Systems, methods and computer program products for analyzing documents, e.g. for verifying an association of an invoice with an entity are also presented. Systems, methods and computer program products for managing medical records are presented. One exemplary system includes a memory; and a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory. The memory stores computer executable program code comprising instructions for: training a classifier based on an invoice format associated with a first entity; accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity.

What is claimed is: 
     
         1 . A system for verifying an association of an invoice with an entity, comprising:
 a memory; and   a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory,   wherein the memory stores computer executable program code comprising instructions for:
 training a classifier based on an invoice format associated with a first entity; 
 accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and 
 outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity. 
   
     
     
         2 . The product of  claim 1 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         3 . The system of  claim 1 , further comprising: performing a document classification technique on the invoices using the classifier. 
     
     
         4 . The system of  claim 3 , wherein the document classification technique includes a transductive process. 
     
     
         5 . The system of  claim 4 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         6 . The system of  claim 3 , wherein the document classification technique includes a support vector machine process. 
     
     
         7 . The system of  claim 6 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         8 . The system of  claim 3 , wherein the document classification technique includes a maximum entropy discrimination process. 
     
     
         9 . The system of  claim 8 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         10 . A computer program product comprising a compute readable storage medium having stored thereon computer executable program code comprising instructions for:
 training a classifier based on an invoice format associated with a first entity;   accessing a plurality of invoices labeled as being associated with at least one of the first entity and other entities; and   outputting an identifier of at least one of the invoices having a high probability of not being associated with the first entity.   
     
     
         11 . The computer program product of  claim 10 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         12 . The computer program product of  claim 10 , further comprising computer executable program code comprising instructions for: performing a document classification technique on the invoices using the classifier. 
     
     
         13 . The computer program product of  claim 12 , wherein the document classification technique includes a transductive process. 
     
     
         14 . The computer program product of  claim 13 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         15 . The computer program product of  claim 12 , wherein the document classification technique includes a support vector machine process. 
     
     
         16 . The computer program product of  claim 15 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         17 . The computer program product of  claim 12 , wherein the document classification technique includes a maximum entropy discrimination process. 
     
     
         18 . The computer program product of  claim 17 , wherein the invoice format includes a physical layout of markings on the invoice. 
     
     
         19 . A system for managing medical records, comprising:
 a memory; and   a processor in communication with the memory, the processor being configured to process at least some instructions stored in the memory,   wherein the memory stores computer executable program code comprising instructions for:
 training a classifier based on a medical diagnosis; 
 accessing a plurality of medical records; and 
 outputting an identifier of at least one of the medical records having a low probability of being associated with the medical diagnosis. 
   
     
     
         20 . The system of  claim 19 , the memory further comprising computer executable program code comprising instructions for performing a document classification technique on the medical records using the classifier. 
     
     
         21 . The system of  claim 20 , wherein the document classification technique includes a transductive process. 
     
     
         22 . The system of  claim 21 , wherein the invoice format includes a physical layout of markings on at least one of the medical records. 
     
     
         23 . The system of  claim 20 , wherein the document classification technique includes a support vector machine process. 
     
     
         24 . The system of  claim 23 , wherein the invoice format includes a physical layout of markings on at least one of the medical records. 
     
     
         25 . The system of  claim 20 , wherein the document classification technique includes a maximum entropy discrimination process.