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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 26, 2015
A Modular Architecture for Electronic Health Record-Driven PhenotypingLuke V Rasmussen, Richard C Kiefer, Huan Mo, et al.
Anais Da Academia Brasileira De Ciencias|March 29, 2014
Feeding habits of the leaf litter frog Haddadus binotatus (Anura, Craugastoridae) from two Atlantic Forest areas in southeastern BrazilLívia Coco, Vitor N T Borges Júnior, Luciana A Fusinatto, et al.
Journal of Biomedical Informatics|January 9, 2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networksZhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, et al.
Journal of Biomedical Informatics|July 10, 2016
Developing a data element repository to support EHR-driven phenotype algorithm authoring and executionGuoqian Jiang, Richard C Kiefer, Luke V Rasmussen, et al.
Learning Health Systems|October 21, 2020
Subphenotyping depression using machine learning and electronic health recordsZhenxing Xu, Fei Wang, Prakash Adekkanattu, et al.
ESC Heart Failure|March 29, 2021
Full spectrum of clonal haematopoiesis-driver mutations in chronic heart failure and their associations with mortalityKatharina C Kiefer, Sebastian Cremer, Evangelia Pardali, et al.
Psychiatric Research and Clinical Practice|December 11, 2023
Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health RecordsZhenxing Xu, Veer Vekaria, Fei Wang, et al.
Brazilian Journal of Biology = Revista Brasleira De Biologia|July 2, 2015
Differential success in sampling of Atlantic Forest amphibians among different periods of the dayC F D Rocha, C C Siqueira, C V Ariani, et al.
Journal of the American Medical Informatics Association : JAMIA|July 31, 2015
Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational researchJie Xu, Luke V Rasmussen, Pamela L Shaw, et al.
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