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Franklin et al., 2021 - Google Patents

Knowledge extraction of cohort characteristics in research publications

Franklin et al., 2021

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Document ID
5440481855671538762
Author
Franklin J
Chari S
Foreman M
Seneviratne O
Gruen D
McCusker J
Das A
McGuinness D
Publication year
Publication venue
AMIA Annual Symposium Proceedings

External Links

Snippet

When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the characteristics of the study cohort correspond to those of the patients they see. We have previously created a study …
Continue reading at pmc.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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    • G06F17/20—Handling natural language data
    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G06F17/2247—Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30389—Query formulation
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    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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