Andrew J. Einstein

According to our database, Andrew J. Einstein authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.

Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 2024

Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining.

Mahshad Koohi H. Dehkordi, Navya Martin Kollapally, Yehoshua Perl, James Geller, Fadi P. Deek, Hao Liu, Vipina Kuttichi Keloth, Gai Elhanan, Andrew J. Einstein

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.

Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl

BMC Medical Informatics Decis. Mak., December, 2023

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.

Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 2023

Using annotation for computerized support for fast skimming of cardiology electronic health record notes.

Mahshad Koohi H. Dehkordi, Andrew J. Einstein, Shuxin Zhou, Gai Elhanan, Yehoshua Perl, Vipina Kuttichi Keloth, James Geller, Hao Liu

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.

Richard Ríos, Robert J. H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka

Comput. Biol. Medicine, 2022

2020

Mining Concepts for a COVID Interface Terminology for Annotation of EHRs.

Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl

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.

Vipina Kuttichi Keloth, Shuxin Zhou, Andrew J. Einstein, Gai Elhanan, Yan Chen, James Geller, Yehoshua Perl

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020