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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

N. Shang, C. Liu, L. Rasmussen, C. Ta, R. Carroll, B. Benoit, T. Lingren, O. Dikilitas, F. Mentch, D. Carrell, W. Wei, Y. Luo, V. Gainer, I. Kullo, J. Pacheco, H. Hakonarson, T. Walunas, J. Denny, and C. Weng. J. Biomed. Informatics, (2019)

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Detlef Rasmussen

Jens Rasmussen

Nora Rasmussen

Ove Rasmussen

Maria Rasmussen

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A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.J. Pacheco, L. Rasmussen, R. Kiefer, T. Jr., P. Speltz, R. Carroll, S. Stallings, H. Mo, M. Ahuja, G. Jiang and 14 other author(s). J. Am. Medical Informatics Assoc., 25 (11): 1540-1546 (2018)Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.N. Hong, A. Wen, D. Stone, S. Tsuji, P. Kingsbury, L. Rasmussen, J. Pacheco, P. Adekkanattu, F. Wang, Y. Luo and 3 other author(s). J. Biomed. Informatics, (2019)Practical considerations for implementing genomic information resources.C. Overby, J. Connolly, C. Chute, J. Denny, R. Freimuth, A. Hartzler, I. Holm, S. Manzi, J. Pathak, P. Peissig and 9 other author(s). Appl. Clin. Inform., 07 (03): 870-882 (2016)AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.C. Mao, J. Xu, L. Rasmussen, Y. Li, P. Adekkanattu, J. Pacheco, B. Bonakdarpour, R. Vassar, G. Jiang, F. Wang and 2 other author(s). CoRR, (2022)On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation.A. Wen, L. Rasmussen, D. Stone, S. Liu, P. Adekkanattu, P. Brandt, J. Pacheco, Y. Luo, F. Wang, J. Pathak and 2 other author(s). AMIA, AMIA, (2021)Open Source Workflow Tools for Electronic Health Record Based Phenotyping Algorithms.W. Thompson, L. Rasmussen, J. Pacheco, A. Roberts, A. Muthalagu, and A. Kho. AMIA, AMIA, (2012)Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms.Y. Zhong, L. Rasmussen, J. Starren, and Y. Luo. AMIA, AMIA, (2016)Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants.P. Dexter, H. Ong, A. Elsey, G. Bell, N. Walton, W. Chung, L. Rasmussen, J. Hicks, A. Owusu obeng, S. Scott and 2 other author(s). AMIA, AMIA, (2019)Challenges impacting data collection from Electronic Health Record (EHR) Systems in Small and Medium sized practices in the Midwest.P. Kenly, L. Rasmussen, A. Schriever, F. Ahmad, K. Jackson, R. Chagnon, T. Walunas, and A. Kho. AMIA, AMIA, (2017)Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories.A. Wang, W. Lancaster, M. Wyatt, L. Rasmussen, D. Fort, and J. Cimino. AMIA, AMIA, (2017)

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Disambiguation of "Rasmussen, Luke V."

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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

Please choose a person to relate this publication to

Detlef Rasmussen

Jens Rasmussen

Nora Rasmussen

Ove Rasmussen

Maria Rasmussen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rasmussen, Luke V."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

Please choose a person to relate this publication to

Detlef Rasmussen

Jens Rasmussen

Nora Rasmussen

Ove Rasmussen

Maria Rasmussen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.