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David S Carrell

Showing results (31-40 of 82) with videos related to

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BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Pain|March 17, 2021
Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosisPradeep Suri, Ian B Stanaway, Yanfei Zhang, et al.
Genes and Immunity|November 22, 2018
Unfolding of hidden white blood cell count phenotypes for gene discovery using latent class mixed modelingTaryn O Hall, Ian B Stanaway, David S Carrell, et al.
JAMA Network Open|May 6, 2021
Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington StateTheresa E Matson, David S Carrell, Jennifer F Bobb, et al.
Pharmacoepidemiology and Drug Safety|March 13, 2026
A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record DataNicole M Gatto, David J Cronkite, Paige D Wartko, et al.
American Journal of Human Genetics|August 20, 2019
Rates of Actionable Genetic Findings in Individuals with Colorectal Cancer or Polyps Ascertained from a Community Medical SettingAdam S Gordon, Elisabeth A Rosenthal, David S Carrell, et al.
Substance Abuse|March 7, 2022
Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methodsDavid S Carrell, David J Cronkite, Mary Shea, et al.
Journal of the American Medical Informatics Association : JAMIA|December 18, 2023
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 diseaseJoshua C Smith, Brian D Williamson, David J Cronkite, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Identifying anaphylaxis using weakly-supervised prediction models and natural language processingBrian D Williamson, David J Cronkite, Onchee Yu, et al.
Journal of the American Medical Informatics Association : JAMIA|March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportabilityJacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
Pageof 9

Showing results (31-40 of 82) with videos related to

Sort By:
Pageof 9
BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Pain|March 17, 2021
Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosisPradeep Suri, Ian B Stanaway, Yanfei Zhang, et al.
Genes and Immunity|November 22, 2018
Unfolding of hidden white blood cell count phenotypes for gene discovery using latent class mixed modelingTaryn O Hall, Ian B Stanaway, David S Carrell, et al.
JAMA Network Open|May 6, 2021
Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington StateTheresa E Matson, David S Carrell, Jennifer F Bobb, et al.
Pharmacoepidemiology and Drug Safety|March 13, 2026
A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record DataNicole M Gatto, David J Cronkite, Paige D Wartko, et al.
American Journal of Human Genetics|August 20, 2019
Rates of Actionable Genetic Findings in Individuals with Colorectal Cancer or Polyps Ascertained from a Community Medical SettingAdam S Gordon, Elisabeth A Rosenthal, David S Carrell, et al.
Substance Abuse|March 7, 2022
Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methodsDavid S Carrell, David J Cronkite, Mary Shea, et al.
Journal of the American Medical Informatics Association : JAMIA|December 18, 2023
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 diseaseJoshua C Smith, Brian D Williamson, David J Cronkite, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Identifying anaphylaxis using weakly-supervised prediction models and natural language processingBrian D Williamson, David J Cronkite, Onchee Yu, et al.
Journal of the American Medical Informatics Association : JAMIA|March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportabilityJacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
Pageof 9