Categorization of information using natural language processing and predefined templates
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United States of America Patent
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May 27, 2008
Issued Date -
N/A
app pub date -
May 7, 2004
filing date -
Mar 31, 2004
priority date (Note) -
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status (Latency Note)
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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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