proprietary natural language processing nlp algorithm (Optum Inc)
86
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Optum Inc
proprietary natural language processing nlp algorithm
Proprietary Natural Language Processing Nlp Algorithm, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nlp+algorithms/nlp+optum+system/pm40952619-77-38-37
Average 86 stars, based on 1 article reviews
Proprietary Natural Language Processing Nlp Algorithm, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nlp+algorithms/nlp+optum+system/pm40952619-77-38-37
Average 86 stars, based on 1 article reviews
proprietary natural language processing nlp algorithm - by Bioz Stars,
2026-10
86/100 stars
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Diagnostic Assay:Article Title: Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database. Article Snippet: Funding information AbbVie Abstract Background: The prevalence of adenomyosis is underestimated due to lack of a specific diagnostic code and diagnostic delays given most diagnoses occur at hysterectomy.. Objectives: To identify women with adenomyosis using indicators derived from natural language processing (NLP) of clinical notes in the Optum Electronic Health Record database (2014–2018), and to estimate the prevalence of potentially undiagnosed adenomyosis.. Methods: An NLP algorithm identified mentions of adenomyosis in clinical notes that were highly likely to represent a diagnosis. Selection:Article Title: Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database. Article Snippet: Funding information AbbVie Abstract Background: The prevalence of adenomyosis is underestimated due to lack of a specific diagnostic code and diagnostic delays given most diagnoses occur at hysterectomy.. Objectives: To identify women with adenomyosis using indicators derived from natural language processing (NLP) of clinical notes in the Optum Electronic Health Record database (2014–2018), and to estimate the prevalence of potentially undiagnosed adenomyosis.. Methods: An NLP algorithm identified mentions of adenomyosis in clinical notes that were highly likely to represent a diagnosis. Biomarker Discovery:Article Title: Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database. Article Snippet: Funding information AbbVie Abstract Background: The prevalence of adenomyosis is underestimated due to lack of a specific diagnostic code and diagnostic delays given most diagnoses occur at hysterectomy.. Objectives: To identify women with adenomyosis using indicators derived from natural language processing (NLP) of clinical notes in the Optum Electronic Health Record database (2014–2018), and to estimate the prevalence of potentially undiagnosed adenomyosis.. Methods: An NLP algorithm identified mentions of adenomyosis in clinical notes that were highly likely to represent a diagnosis. |