View source for 20240046029. MACHINE LEARNING (ML)-BASED SYSTEM AND METHOD FOR FACILITATING CORRECTION OF DATA IN DOCUMENTS simplified abstract (HIGHRADIUS CORPORATION)

=MACHINE LEARNING (ML)-BASED SYSTEM AND METHOD FOR FACILITATING CORRECTION OF DATA IN DOCUMENTS=


==Organization Name==

[[:Category:HIGHRADIUS CORPORATION|HIGHRADIUS CORPORATION]]


[[Category:HIGHRADIUS CORPORATION]]

==Inventor(s)==

[[:Category:Aditya Ankur of Hyderabad (IN)|Aditya Ankur of Hyderabad (IN)]][[Category:Aditya Ankur of Hyderabad (IN)]]

[[:Category:Rajesh Krishnan of Hyderabad (IN)|Rajesh Krishnan of Hyderabad (IN)]][[Category:Rajesh Krishnan of Hyderabad (IN)]]

[[:Category:Aishwarya Kumar of Hyderabad (IN)|Aishwarya Kumar of Hyderabad (IN)]][[Category:Aishwarya Kumar of Hyderabad (IN)]]

[[:Category:Mohit Bansal of Hyderabad (IN)|Mohit Bansal of Hyderabad (IN)]][[Category:Mohit Bansal of Hyderabad (IN)]]

==MACHINE LEARNING (ML)-BASED SYSTEM AND METHOD FOR FACILITATING CORRECTION OF DATA IN DOCUMENTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046029 titled 'MACHINE LEARNING (ML)-BASED SYSTEM AND METHOD FOR FACILITATING CORRECTION OF DATA IN DOCUMENTS

==Simplified Explanation==

The patent application describes a system and method for correcting data in documents. Here is a simplified explanation of the abstract:

* The method involves receiving one or more documents and scanning them using a document processing system.
* The scanning process identifies one or more mis-captured data fields in the documents.
* Historical correction data is obtained, which is used to determine one or more deltas (differences) in the data.
* A trained data correction-based machine learning model is used to analyze the deltas and generate one or more datasets.
* The datasets are parsed to generate correct data fields corresponding to the mis-captured data fields.
* The method automatically replaces the mis-captured data fields with the generated correct data fields based on predefined rules.

Potential applications of this technology:

* Data correction in various industries such as finance, healthcare, legal, etc.
* Improving accuracy and efficiency in data entry processes.
* Enhancing data quality and integrity in document management systems.

Problems solved by this technology:

* Correcting errors or inaccuracies in data captured from documents.
* Reducing manual effort and time required for data correction.
* Minimizing the risk of incorrect data being used for decision-making.

Benefits of this technology:

* Improved data accuracy and reliability.
* Increased productivity and efficiency in data processing.
* Enhanced decision-making based on accurate and reliable data.


==Original Abstract Submitted==

a system and method for or facilitating correction of data in documents is disclosed. the method includes receiving one or more documents from and scanning the received one or more documents by using a document processing system for obtaining one or more mis-captured data fields. the method further includes obtaining a historical correction data and determining one or more deltas based on the obtained historical correction data by using a trained data correction-based ml model. further, the method includes parsing the determined one or more deltas into one or more datasets, generating one or more correct data fields corresponding to the one or more mis-captured data fields and automatically replacing the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.



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[[Category:G06N5/022]]
[[Category:G06Q40/12]]
[[Category:G06F40/205]]