Luke V. Rasmussen
Orcid: 0000-0002-4497-8049
According to our database1,
Luke V. Rasmussen
authored at least 75 papers
between 2012 and 2023.
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Bibliography
2023
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics, August, 2023
J. Am. Medical Informatics Assoc., February, 2023
2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022
J. Am. Medical Informatics Assoc., 2022
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2022
2021
J. Biomed. Informatics, 2021
Appl. Clin. Inform., 2021
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Impact of Sex and Gender Disparities on Computational Phenotyping: A Potential Barrier to an Equitable Learning Health System.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics, 2020
Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support.
CoRR, 2020
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020
2019
BMC Medical Informatics Decis. Mak., 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019
J. Biomed. Informatics, 2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
J. Biomed. Informatics, 2019
J. Am. Medical Informatics Assoc., 2019
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network.
J. Am. Medical Informatics Assoc., 2019
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR, 2019
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
Proceedings of the AMIA 2019, 2019
Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants.
Proceedings of the AMIA 2019, 2019
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
Proceedings of the AMIA 2019, 2019
2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018
Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example.
J. Am. Medical Informatics Assoc., 2018
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories.
Proceedings of the AMIA 2017, 2017
The Phenotype Execution and Modeling Architecture: A Roadmap Towards Next-generation Phenotyping Using EHRs.
Proceedings of the AMIA 2017, 2017
Use of the popHealth Open-Source Quality Measure Engine to Support Cardiovascular Care at Small- and Medium-Sized Practices.
Proceedings of the AMIA 2017, 2017
DocUBuild: A Collaborative System to Enhance Dissemination and Discovery of Genomic Clinical Content.
Proceedings of the AMIA 2017, 2017
Design and Implementation of a Structured Sequencing Report Format: A Multi-Stakeholder Perspective from eMERGE.
Proceedings of the AMIA 2017, 2017
Leveraging Value Sets from the Value Set Authority Center (VSAC) in a Standards-Based Clinical Data Repository.
Proceedings of the AMIA 2017, 2017
Challenges impacting data collection from Electronic Health Record (EHR) Systems in Small and Medium sized practices in the Midwest.
Proceedings of the AMIA 2017, 2017
2016
Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.
J. Biomed. Informatics, 2016
J. Biomed. Informatics, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.
J. Am. Medical Informatics Assoc., 2016
J. Am. Medical Informatics Assoc., 2016
Int. J. Medical Informatics, 2016
Appl. Clin. Inform., 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Data Collection Methods to Support a Multi-State Practice Care Transformation Network.
Proceedings of the Summit on Clinical Research Informatics, 2016
A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform.
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the Summit on Clinical Research Informatics, 2016
Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms.
Proceedings of the AMIA 2016, 2016
Design and Implementation of an Ancillary Genomics System for the Return of Pharmacogenetic Results.
Proceedings of the AMIA 2016, 2016
An NLP Extension to the Quality Data Model for EHR-Driven Phenotype Algorithm Authoring and Execution.
Proceedings of the AMIA 2016, 2016
Implementing Pharmacogenomic Clinical Decision Support: Design and Prescriber Response in the eMERGE Network.
Proceedings of the AMIA 2016, 2016
2015
Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.
J. Am. Medical Informatics Assoc., 2015
CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.
J. Am. Medical Informatics Assoc., 2015
Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J. Am. Medical Informatics Assoc., 2015
A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
Proceedings of the AMIA 2015, 2015
Usability of a phenotype builder prototype and lessons learned for the design of phenotyping tools.
Proceedings of the AMIA 2015, 2015
Translating Electronic Clinical Quality Measures to Executable, Portable, and Customizable Workflows in KNIME.
Proceedings of the AMIA 2015, 2015
Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study.
Proceedings of the AMIA 2015, 2015
2014
Design patterns for the development of electronic health record-driven phenotype extraction algorithms.
J. Biomed. Informatics, 2014
Qualitative evaluation of three phenotype information models to find methotrexate liver injury.
Proceedings of the AMIA 2014, 2014
Proceedings of the AMIA 2014, 2014
A Template for Authoring and Adapting Genomic Medicine Content in the eMERGE Infobutton Project.
Proceedings of the AMIA 2014, 2014
What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support.
Proceedings of the AMIA 2014, 2014
2012
Development of an optical character recognition pipeline for handwritten form fields from an electronic health record.
J. Am. Medical Informatics Assoc., 2012
Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.
J. Am. Medical Informatics Assoc., 2012
Open Source Workflow Tools for Electronic Health Record Based Phenotyping Algorithms.
Proceedings of the AMIA 2012, 2012
An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms.
Proceedings of the AMIA 2012, 2012
Proceedings of the AMIA 2012, 2012
Proceedings of the AMIA 2012, 2012