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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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Dávid Felh s

David S Hasselbrook

David S Gerber

S Danischewski

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Using natural language processing to identify problem usage of prescription opioids.D. Carrell, D. Cronkite, R. Palmer, K. Saunders, D. Gross, E. Masters, T. Hylan, and M. Korff. Int. J. Medical Informatics, 84 (12): 1057-1064 (2015)The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.D. Carrell, D. Cronkite, M. Li, S. Nyemba, B. Malin, J. Aberdeen, and L. Hirschman. J. Am. Medical Informatics Assoc., 26 (12): 1536-1544 (2019)Enrichment sampling for a multi-site patient survey using electronic health records and census data.N. Mercaldo, K. Brothers, D. Carrell, E. Clayton, J. Connolly, I. Holm, C. Horowitz, G. Jarvik, T. Kitchner, R. Li and 10 other author(s). J. Am. Medical Informatics Assoc., 26 (3): 219-227 (2019)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)Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening.R. Penfold, D. Carrell, D. Cronkite, C. Pabiniak, T. Dodd, A. Glass, E. Johnson, E. Thompson, H. Arrighi, and P. Stang. BMC Medical Informatics Decis. Mak., 22 (1): 129 (2022)PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.J. Kirby, P. Speltz, L. Rasmussen, M. Basford, O. Gottesman, P. Peissig, J. Pacheco, G. Tromp, J. Pathak, D. Carrell and 8 other author(s). JAMIA, 23 (6): 1046-1052 (2016)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 and 9 other author(s). J. Biomed. Informatics, (2019)Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.D. Carrell, R. Schoen, D. Leffler, M. Morris, S. Rose, A. Baer, S. Crockett, R. Gourevitch, K. Dean, and A. Mehrotra. J. Am. Medical Informatics Assoc., 24 (5): 986-991 (2017)Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.N. Shang, A. Khan, F. Polubriaginof, F. Zanoni, K. Mehl, D. Fasel, P. Drawz, R. Carroll, J. Denny, M. Hathcock and 23 other author(s). npj Digit. Medicine, (2021)Detecting the Presence of an Individual in Phenotypic Summary Data.Y. Liu, Z. Wan, W. Xia, M. Kantarcioglu, Y. Vorobeychik, E. Clayton, A. Kho, D. Carrell, and B. Malin. AMIA, AMIA, (2018)

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Disambiguation of "Carrell, David S."

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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

Dávid Felh s

Dávid Felh s

David S Hasselbrook

David S Gerber

S Danischewski

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Carrell, David S."

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

Dávid Felh s

Dávid Felh s

David S Hasselbrook

David S Gerber

S Danischewski

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.