Benjamin Rosand

Yale University — United States

Computer Science · Physical Sciences

8h-index453citations20works28.02yr avg
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Research Topics

Topic Modeling(7), Machine Learning in Healthcare(6), Biomedical Text Mining and Ontologies(4), Artificial Intelligence in Healthcare(3), Quantum Information and Cryptography(2)

Publications20 total

Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
JACC Heart Failure·2024· 16 cited
Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study
Journal of Medical Internet Research·2024· 11 citedOpen Access
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation (Preprint)
2024· 1 citedOpen Access
On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations
Communications Biology·2024· 84 citedOpen Access
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
arXiv (Cornell University)·2023· 2 citedOpen Access
Abstract 16207: Deep Learning-Based Natural Language Processing of Discharge Summaries for Automated Identification of Heart Failure With Reduced Ejection Fraction
Circulation·2023· 2 cited
Qiskit Dynamics: A Python package for simulating thetime dynamics of quantum systems
The Journal of Open Source Software·2023· 12 citedOpen Access
Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing
2023· 6 citedOpen Access
Algorithms for perturbative analysis and simulation of quantum dynamics
Journal of Computational Physics·2023· 10 cited
DEEP LEARNING-BASED IDENTIFICATION OF HEART FAILURE WITH REDUCED EJECTION FRACTION IN CLINICAL DOCUMENTATION TO AUTOMATE CARE QUALITY ASSESSMENT IN HEART FAILURE
Journal of the American College of Cardiology·2023
Algorithms for perturbative analysis and simulation of quantum dynamics
arXiv (Cornell University)·2022· 1 citedOpen Access
Neural Natural Language Processing for unstructured data in electronic health records: A review
Computer Science Review·2022· 209 cited
Abstract 251: Natural Language Processing Of Clinical Documentation To Assess Racial Differences In The Clinical Profile Of Patients Hospitalized With Heart Failure
Circulation Cardiovascular Quality and Outcomes·2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
arXiv (Cornell University)·2022· 2 citedOpen Access
IDENTIFICATION OF HEART FAILURE WITH REDUCED EJECTION FRACTION FROM HOSPITALIZATION DISCHARGE SUMMARIES USING NATURAL LANGUAGE PROCESSING
Journal of the American College of Cardiology·2022
Abstract 13965: Natural Language Processing of Hospitalization Discharge Summary to Predict 1-year Post-Discharge Mortality Among Patients With Acute Heart Failure
Circulation·2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
arXiv (Cornell University)·2021· 22 citedOpen Access
On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations
2020· 75 citedOpen Access
Identifying Jets Using Linear Discriminant Analysis
Bulletin of the American Physical Society·2017
Identifying Jets Using Artifical Neural Networks
Bulletin of the American Physical Society·2017

Frequent Co-authors

Dragomir Radev(7), Rohan Khera(7), Harlan M. Krumholz(6), Philip Adejumo(6), Irene Li(5), Jeremy Goldwasser(5), Arash Aghajani Nargesi(5), Astrid C. Hengartner(5), Keen You(4), Yujie Qiao(4), Lucas Huang(4), Chia-Chun Hsieh(4), Sounok Sen(3), Faraz S. Ahmad(3), Daniel Puzzuoli(3), Christopher J. Wood(3), Rui Yang(3), Qingcheng Zeng(3), Amisha Dave(3), Tiarnán D L Keenan(3)