This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (266) Electronic Health Records (1053) Machine Learning (1465) Natural Language Processing (693)

Published on in Vol 8, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16042, first published .
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning

Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning

Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning

Authors of this article:

Emily R Pfaff1 Author Orcid Image ;   Miles Crosskey2 Author Orcid Image ;   Kenneth Morton2 Author Orcid Image ;   Ashok Krishnamurthy3 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

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  3. Fecho K, Ahalt S, Knowles M, Krishnamurthy A, Leigh M, Morton K, Pfaff E, Wang M, Yi H. Leveraging Open Electronic Health Record Data and Environmental Exposures Data to Derive Insights Into Rare Pulmonary Disease. Frontiers in Artificial Intelligence 2022;5 View
  4. He T, Belouali A, Patricoski J, Lehmann H, Ball R, Anagnostou V, Kreimeyer K, Botsis T. Trends and opportunities in computable clinical phenotyping: A scoping review. Journal of Biomedical Informatics 2023;140:104335 View
  5. Ser S, Shear K, Snigurska U, Prosperi M, Wu Y, Magoc T, Bjarnadottir R, Lucero R. Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study. JMIR Research Protocols 2023;12:e48521 View
  6. Deady M, Duncan R, Sonesen M, Estiandan R, Stimpert K, Cho S, Beers J, Goodness B, Jones L, Forshee R, Anderson S, Ezzeldin H. A Computable Phenotype Algorithm for Post-Vaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study (Preprint). Journal of Medical Internet Research 2023 View
  7. Hutto A, Zikry T, Bohac B, Rose T, Staebler J, Slay J, Cheever C, Kosorok M, Nash R. Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis. Health Informatics Journal 2024;30(4) View
  8. Martin E, D'Souza A, Saini V, Tang K, Quan H, Eastwood C. Extracting social determinants of health from inpatient electronic medical records using natural language processing. Journal of Epidemiology and Population Health 2024;72(6):202791 View