Categorization of information using natural language processing and predefined templates
DC CAFCFirst Claim
1. A computer implemented method for generating a report that includes latent information, comprising;
- receiving an input data stream;
performing one of normalization, validation, and extraction of the input data stream;
processing the input data stream to identify latent information within the data stream that is required for generation of a particular report, wherein said processing of the input data stream to identify latent information comprises of identifying a relevant portion of the input data stream, bounding the relevant portion of the input data stream, identifying a predetermined class of information, and normalizing the relevant portion of the input data stream;
activating a relevant report template based on the said identified latent information;
populating said template with template-specified data;
processing the template-specified data to generate a report.
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Accused Products
Abstract
Methods and systems for classifying and normalizing information using a combination of traditional data input methods, natural language processing, and predetermined templates are disclosed. One method may include activating a template. Based on this template, template-specific data may also be retrieved. After receiving both an input stream of data and the template-specific data, this information may be processed to generate a report based on the input data and the template specific data. In an alternative embodiment of the invention, templates may include, for example, medical billing codes from a number of different billing code classifications for the generation of patient bills. Alternatively, a method may include receiving an input stream of data and processing the input stream of data. A determination may be made as to whether or not the input stream of data includes latent information. If the data includes latent information, a template associated with latent information may be activated.
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Citations
6 Claims
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1. A computer implemented method for generating a report that includes latent information, comprising;
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receiving an input data stream; performing one of normalization, validation, and extraction of the input data stream; processing the input data stream to identify latent information within the data stream that is required for generation of a particular report, wherein said processing of the input data stream to identify latent information comprises of identifying a relevant portion of the input data stream, bounding the relevant portion of the input data stream, identifying a predetermined class of information, and normalizing the relevant portion of the input data stream; activating a relevant report template based on the said identified latent information; populating said template with template-specified data; processing the template-specified data to generate a report. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification