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Peggy L Peissig

Showing results (1-10 of 59) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|September 6, 2011
Development of an optical character recognition pipeline for handwritten form fields from an electronic health recordLuke V Rasmussen, Peggy L Peissig, Catherine A McCarty, et al.
Proceedings of the ... Innovative Applications of Artificial Intelligence Conference. Innovative Applications of Artificial Intelligence Conference|November 1, 2014
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health RecordsJeremy C Weiss, David Page, Peggy L Peissig, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record DataRoss Kleiman, Finn Kuusisto, Ian Ross, et al.
Journal of the American Medical Informatics Association : JAMIA|December 28, 2018
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE NetworkTimothy M Herr, Josh F Peterson, Luke V Rasmussen, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|September 28, 2013
Practical challenges in integrating genomic data into the electronic health recordAbel N Kho, Luke V Rasmussen, John J Connolly, et al.
Journal of the American Medical Informatics Association : JAMIA|November 15, 2015
A multi-institution evaluation of clinical profile anonymizationRaymond Heatherly, Luke V Rasmussen, Peggy L Peissig, et al.
Journal of Biomedical Informatics|July 23, 2014
Relational machine learning for electronic health record-driven phenotypingPeggy L Peissig, Vitor Santos Costa, Michael D Caldwell, et al.
BMC Ophthalmology|November 15, 2011
Cataract research using electronic health recordsCarol J Waudby, Richard L Berg, James G Linneman, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney DiseaseRoss S Kleiman, Eric R LaRose, Jonathan C Badger, et al.
Clinical Drug Investigation|September 22, 2017
Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS)Md Motiur Rahman, Yasser Alatawi, Ning Cheng, et al.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Journal of the American Medical Informatics Association : JAMIA|September 6, 2011
Development of an optical character recognition pipeline for handwritten form fields from an electronic health recordLuke V Rasmussen, Peggy L Peissig, Catherine A McCarty, et al.
Proceedings of the ... Innovative Applications of Artificial Intelligence Conference. Innovative Applications of Artificial Intelligence Conference|November 1, 2014
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health RecordsJeremy C Weiss, David Page, Peggy L Peissig, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record DataRoss Kleiman, Finn Kuusisto, Ian Ross, et al.
Journal of the American Medical Informatics Association : JAMIA|December 28, 2018
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE NetworkTimothy M Herr, Josh F Peterson, Luke V Rasmussen, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|September 28, 2013
Practical challenges in integrating genomic data into the electronic health recordAbel N Kho, Luke V Rasmussen, John J Connolly, et al.
Journal of the American Medical Informatics Association : JAMIA|November 15, 2015
A multi-institution evaluation of clinical profile anonymizationRaymond Heatherly, Luke V Rasmussen, Peggy L Peissig, et al.
Journal of Biomedical Informatics|July 23, 2014
Relational machine learning for electronic health record-driven phenotypingPeggy L Peissig, Vitor Santos Costa, Michael D Caldwell, et al.
BMC Ophthalmology|November 15, 2011
Cataract research using electronic health recordsCarol J Waudby, Richard L Berg, James G Linneman, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney DiseaseRoss S Kleiman, Eric R LaRose, Jonathan C Badger, et al.
Clinical Drug Investigation|September 22, 2017
Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS)Md Motiur Rahman, Yasser Alatawi, Ning Cheng, et al.
Pageof 6