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Get the free Natural language generation for electronic health records. npj Digital Medicine, doi

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Www.nature.com/npjdigitalmedARTICLEOPENNatural language generation for electronic health records Scott H. Lee1 One broad goal of biomedical informatics is to generate fully synthetic, faithfully representative
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Natural language generation is used to convert structured data into human-readable text, enabling better communication and understanding of data insights.
Organizations and individuals who need to summarize data or reports in a narrative format are typically required to use natural language generation.
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The purpose of natural language generation is to automate the creation of written content from data inputs, improving efficiency and accessibility of information.
Information that must be reported can include data sources, summary statistics, and narrative insights drawn from the data.
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