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David J Cronkite

Showing results (11-20 of 19) with videos related to

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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.
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.
American Journal of Epidemiology|November 4, 2022
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine LearningDavid S Carrell, Susan Gruber, James S Floyd, et al.
Journal of Drug Assessment|June 4, 2020
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims dataDavid S Carrell, Ladia Albertson-Junkans, Arvind Ramaprasan, et al.
Genetic Epidemiology|September 23, 2020
Loci identified by a genome-wide association study of carotid artery stenosis in the eMERGE networkMelody R Palmer, Daniel S Kim, David R Crosslin, et al.
Scientific Reports|February 3, 2023
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE networkJennifer A Pacheco, Luke V Rasmussen, Ken Wiley, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
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.
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.
American Journal of Epidemiology|November 4, 2022
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine LearningDavid S Carrell, Susan Gruber, James S Floyd, et al.
Journal of Drug Assessment|June 4, 2020
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims dataDavid S Carrell, Ladia Albertson-Junkans, Arvind Ramaprasan, et al.
Genetic Epidemiology|September 23, 2020
Loci identified by a genome-wide association study of carotid artery stenosis in the eMERGE networkMelody R Palmer, Daniel S Kim, David R Crosslin, et al.
Scientific Reports|February 3, 2023
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE networkJennifer A Pacheco, Luke V Rasmussen, Ken Wiley, et al.
Pageof 2