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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, J. Pathak, H. Liu, and G. Jiang. J. Biomed. Informatics, (2019)

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Chandra Prakash Beura University of Stuttgart

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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)Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.E. Sholle, L. Pinheiro, P. Adekkanattu, M. Davila, S. Johnson, J. Pathak, S. Sinha, C. Li, S. Lubansky, M. Safford and 1 other author(s). JAMIA, 26 (8-9): 722-729 (2019)Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.Z. Xu, J. Chou, X. Zhang, Y. Luo, T. Isakova, P. Adekkanattu, J. Ancker, G. Jiang, R. Kiefer, J. Pacheco and 3 other author(s). CoRR, (2019)Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.P. Adekkanattu, E. Sholle, J. DeFerio, J. Pathak, S. Johnson, and T. Jr.. AMIA, AMIA, (2018)Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.P. Brandt, R. Kiefer, J. Pacheco, P. Adekkanattu, E. Sholle, F. Ahmad, J. Xu, Z. Xu, J. Ancker, F. Wang and 4 other author(s). AMIA, AMIA, (2020)Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.L. Rasmussen, P. Brandt, G. Jiang, R. Kiefer, J. Pacheco, P. Adekkanattu, J. Ancker, F. Wang, Z. Xu, J. Pathak and 1 other author(s). AMIA, AMIA, (2019)Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.P. Adekkanattu, G. Jiang, Y. Luo, P. Kingsbury, Z. Xu, L. Rasmussen, J. Pacheco, R. Kiefer, D. Stone, P. Brandt and 7 other author(s). AMIA, AMIA, (2019)Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.Z. Xu, J. Chou, X. Zhang, Y. Luo, T. Isakova, P. Adekkanattu, J. Ancker, G. Jiang, R. Kiefer, J. Pacheco and 3 other author(s). J. Biomed. Informatics, (2020)Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.J. Xu, F. Wang, Z. Xu, P. Adekkanattu, P. Brandt, G. Jiang, R. Kiefer, Y. Luo, C. Mao, J. Pacheco and 4 other author(s). AMIA, AMIA, (2020)Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.Z. Xu, Y. Luo, P. Adekkanattu, J. Ancker, G. Jiang, R. Kiefer, J. Pacheco, L. Rasmussen, J. Pathak, and F. Wang. MedInfo, volume 264 of Studies in Health Technology and Informatics, page 462-466. IOS Press, (2019)

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Chandra Prakash Beura University of Stuttgart

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.

Please choose a person to relate this publication to

Chandra Prakash Beura University of Stuttgart

Other publications of authors with the same name

Disambiguation