Adelaide M. Arruda-Olson

According to our database1, Adelaide M. Arruda-Olson authored at least 17 papers between 2016 and 2022.

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Bibliography

2022
Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.
BMC Medical Informatics Decis. Mak., December, 2022

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.
J. Imaging, 2022

Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021

2020
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


2019
Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.
Int. J. Medical Informatics, 2019

Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record.
Proceedings of the AMIA 2019, 2019

Usability Evaluation of a Clinical Decision Support Tool for Management of Peripheral Artery Disease Patients.
Proceedings of the AMIA 2019, 2019

Ensemble Imputation for Healthcare Data.
Proceedings of the AMIA 2019, 2019

2018
Natural language processing of clinical notes for identification of critical limb ischemia.
Int. J. Medical Informatics, 2018

Leveraging Electronic Health Records for Identification of Features Associated with Sudden Death for Hypertrophic Cardiomyopathy Patients.
Proceedings of the AMIA 2018, 2018

Leveraging the Electronic Health Record to Create an Automated Real-time Prognostic Tool for Peripheral Arterial Disease.
Proceedings of the AMIA 2018, 2018

2017
Mortality Prognostic Model for Peripheral Arterial Disease.
Proceedings of the Summit on Clinical Research Informatics, 2017

Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.
Proceedings of the Summit on Clinical Research Informatics, 2017

Guideline Based Recommended Therapies in PAD Patients Identified by NLP: A Quality Assessment Project.
Proceedings of the AMIA 2017, 2017

2016
Identifying peripheral arterial disease cases using natural language processing of clinical notes.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016


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