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Publication search results
found 20 matches
- 2024
- Alexander Krieg, Sven Theobald, Sarah Brandt, Pascal Guckenbiehl:
On Characteristics and Process Requirements of Artificial Intelligence Projects. PVM 2024 - 2023
- Pascal S. Brandt
, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - Pascal Guckenbiehl, Alexander Krieg, Sarah Brandt, Sven Theobald:
On Agile Leadership and Project Sustainability. PVM 2023 - 2022
- Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 29(9): 1449-1460 (2022) - 2021
- Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 2021 - Natalie C. Benda, Pascal S. Brandt, Jessica S. Ancker, Jennifer A. Pacheco, Prakash Adekkanattu, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study. AMIA 2021 - Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA 2021 - Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA 2021 - 2020
- Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA 2020 - Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak:
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA 2020 - 2019
- Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA 2019 - Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo:
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA 2019 - Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR abs/1905.01961 (2019) - 2017
- Timothy Bergquist, Ronald W. Buie, Kevin Li, Pascal S. Brandt:
Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions. AMIA 2017 - Pascal S. Brandt, Jan Flowers, William B. Lober:
Enabling Collaboration for Building High Quality, Sustainable and Scalable National Health Information Systems in Resource-limited Settings. AMIA 2017 - 2016
- Cindy De Smet, Tammy Schellens, Bram de Wever, Pascale Brandt-Pomares, Martin Valcke:
The design and implementation of learning paths in a learning management system. Interact. Learn. Environ. 24(6): 1076-1096 (2016) - 2015
- Jannik Dreier, Jean-Guillaume Dumas, Pascal Lafourcade:
Brandt's fully private auction protocol revisited. J. Comput. Secur. 23(5): 587-610 (2015) - 2013
- Jannik Dreier, Jean-Guillaume Dumas, Pascal Lafourcade:
Brandt's Fully Private Auction Protocol Revisited. AFRICACRYPT 2013: 88-106 - Pascal S. Brandt, Deshendran Moodley, Anban W. Pillay, Christopher J. Seebregts, Tulio de Oliveira:
An Investigation of Classification Algorithms for Predicting HIV Drug Resistance without Genotype Resistance Testing. FHIES 2013: 236-253 - 2012
- Tim Winter, Pascal Thubert, Anders Brandt, Jonathan W. Hui, Richard Kelsey, Philip Alexander Levis, Kris Pister, René Struik, Jean-Philippe Vasseur, Roger K. Alexander:
RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks. RFC 6550: 1-157 (2012)
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