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Desiderata for computable representations of electronic health records-driven phenotype algorithms.

H. Mo, W. Thompson, L. Rasmussen, J. Pacheco, G. Jiang, R. Kiefer, Q. Zhu, J. Xu, E. Montague, D. Carrell, T. Lingren, F. Mentch, Y. Ni, F. Wehbe, P. Peissig, G. Tromp, E. Larson, C. Chute, J. Pathak, J. Denny, P. Speltz, A. Kho, G. Jarvik, C. Bejan, M. Williams, K. Borthwick, T. Kitchner, D. Roden, and P. Harris. J. Am. Medical Informatics Assoc., 22 (6): 1220-1230 (2015)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Oskar Peissig

Jürgen Peissig

Peggy Gottschalk

Das orale AllergiesyndromP. Gottschalk. Uni Ulm, (2009)

Peggy Never

Zur individuell-sozialen Identitätsformation junger Erwachsener: Selbstbildung und die Bedeutung der beruflichen IdentitätP. Never. Uni Rostock, (2009)

Peggy Hempel

Other publications of authors with the same name

Benefits of Accurate Imputations in GWAS.S. Verma, P. Peissig, D. Cross, C. Waudby, M. Brilliant, C. McCarty, and M. Ritchie. EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 877-889. Springer, (2014)A multi-institution evaluation of clinical profile anonymization.R. Heatherly, L. Rasmussen, P. Peissig, J. Pacheco, P. Harris, J. Denny, and B. Malin. JAMIA, 23 (e1): e131-e137 (2016)Relational machine learning for electronic health record-driven phenotyping.P. Peissig, V. Costa, M. Caldwell, C. Rottscheit, R. Berg, E. Mendonça, and D. Page. J. Biomed. Informatics, (2014)Facilitating phenotype transfer using a common data model.G. Hripcsak, N. Shang, P. Peissig, L. Rasmussen, C. Liu, B. Benoit, R. Carroll, D. Carrell, J. Denny, O. Dikilitas and 9 other author(s). J. Biomed. Informatics, (2019)Breast Cancer Risk Prediction Using Electronic Health Records.Y. Wu, E. Burnside, J. Cox, J. Fan, M. Yuan, J. Yin, P. Peissig, A. Cobian, D. Page, and M. Craven. ICHI, page 224-228. IEEE Computer Society, (2017)An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms.W. Thompson, L. Rasmussen, J. Pacheco, P. Peissig, J. Denny, A. Kho, A. Miller, and J. Pathak. AMIA, AMIA, (2012)Development and validation of an electronic phenotyping algorithm for chronic kidney disease.G. Nadkarni, O. Gottesman, J. Linneman, H. Chase, R. Berg, S. Farouk, V. Lotay, S. Ellis, G. Hripcsak, P. Peissig and 3 other author(s). AMIA, AMIA, (2014)Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records.E. Sirohi, and P. Peissig. Pacific Symposium on Biocomputing, World Scientific, (2005)Development of an optical character recognition pipeline for handwritten form fields from an electronic health record.L. Rasmussen, P. Peissig, C. McCarty, and J. Starren. JAMIA, (2012)Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.P. Teixeira, W. Wei, R. Cronin, H. Mo, J. VanHouten, R. Carroll, E. LaRose, L. Bastarache, S. Rosenbloom, T. Edwards and 6 other author(s). J. Am. Medical Informatics Assoc., 24 (1): 162-171 (2017)

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Disambiguation of "Peissig, Peggy L."

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Desiderata for computable representations of electronic health records-driven phenotype algorithms.

Please choose a person to relate this publication to

Oskar Peissig

Jürgen Peissig

Peggy Gottschalk

Peggy Never

Peggy Hempel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peissig, Peggy L."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Desiderata for computable representations of electronic health records-driven phenotype algorithms.

Please choose a person to relate this publication to

Oskar Peissig

Jürgen Peissig

Peggy Gottschalk

Peggy Never

Peggy Hempel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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MSOffice XML

Desiderata for computable representations of electronic health records-driven phenotype algorithms.