Andrew J. Einstein
Orcid: 0000-0003-2583-9278
According to our database1,
Andrew J. Einstein
authored at least 10 papers
between 2020 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.
npj Digit. Medicine, 2024
Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Enhancing patient Comprehension: An effective sequential prompting approach to simplifying EHRs using LLMs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.
BMC Medical Informatics Decis. Mak., December, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.
npj Digit. Medicine, 2023
Using annotation for computerized support for fast skimming of cardiology electronic health record notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.
Comput. Biol. Medicine, 2022
2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020