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Benjamin Rosand
Benjamin Rosand
Machine learning Researcher, Yale University
Verified email at yale.edu
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Cited by
Cited by
Year
Neural natural language processing for unstructured data in electronic health records: a review
I Li, J Pan, J Goldwasser, N Verma, WP Wong, MY Nuzumlalı, B Rosand, ...
Computer Science Review 46, 100511, 2022
802022
On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations
M Helmer, S Warrington, AR Mohammadi-Nejad, JL Ji, A Howell, ...
Communications Biology 7 (1), 217, 2024
642024
Fetaqa: Free-form table question answering
L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kryściński, ...
Transactions of the Association for Computational Linguistics 10, 35-49, 2022
202022
On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations. BioRxiv
M Helmer, S Warrington, AR Mohammadi-Nejad, JL Ji, A Howell, ...
72021
Algorithms for perturbative analysis and simulation of quantum dynamics
D Puzzuoli, SF Lin, M Malekakhlagh, E Pritchett, B Rosand, CJ Wood
Journal of Computational Physics 489, 112262, 2023
52023
Qiskit Dynamics: A Python package for simulating the time dynamics of quantum systems
D Puzzuoli, CJ Wood, DJ Egger, B Rosand, K Ueda
Journal of Open Source Software 8 (90), 5853, 2023
42023
Ehrkit: A python natural language processing toolkit for electronic health record texts
I Li, K You, X Tang, Y Qiao, L Huang, CC Hsieh, B Rosand, J Goldwasser, ...
arXiv preprint arXiv:2204.06604, 2022
42022
Reliable estimation of Canonical Correlation Analysis (CCA) and Partial Least Squares (PLS) with application to brain-behavior associations. 2020
M Helmer, S Warrington, J Lisa, A Howell, B Rosand
32020
Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing
AA Nargesi, P Adejumo, L Dhingra, B Rosand, A Hengartner, A Coppi, ...
medRxiv, 2023
12023
Deep Learning-Based Natural Language Processing of Discharge Summaries for Automated Identification of Heart Failure With Reduced Ejection Fraction
AA Nargesi, P Adejumo, B Rosand, LS Dhingra, A Hengartner, S Sen, ...
2023
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing
R Yang, Q Zeng, K You, Y Qiao, L Huang, CC Hsieh, B Rosand, ...
arXiv preprint arXiv:2311.16588, 2023
2023
Deep Learning-Based Natural Language Processing of Discharge Summaries for Automated Identification of Heart Failure With Reduced Ejection Fraction
A Aghajani Nargesi, P Adejumo, B Rosand, LS Dhingra, A Hengartner, ...
Circulation 148 (Suppl_1), A16207-A16207, 2023
2023
DEEP LEARNING-BASED IDENTIFICATION OF HEART FAILURE WITH REDUCED EJECTION FRACTION IN CLINICAL DOCUMENTATION TO AUTOMATE CARE QUALITY ASSESSMENT IN HEART FAILURE
A Nargesi, B Rosand, A Hengartner, P Adejumo, R Khera
Journal of the American College of Cardiology 81 (8_Supplement), 2302-2302, 2023
2023
Natural Language Processing Of Clinical Documentation To Assess Racial Differences In The Clinical Profile Of Patients Hospitalized With Heart Failure
P Adejumo, B Rosand, R Khera
Circulation: Cardiovascular Quality and Outcomes 15 (Suppl_1), A251-A251, 2022
2022
IDENTIFICATION OF HEART FAILURE WITH REDUCED EJECTION FRACTION FROM HOSPITALIZATION DISCHARGE SUMMARIES USING NATURAL LANGUAGE PROCESSING
A Hengartner, B Rosand, P Adejumo, L Chen, AA Nargesi, R Khera
Journal of the American College of Cardiology 79 (9_Supplement), 357-357, 2022
2022
Natural Language Processing of Hospitalization Discharge Summary to Predict 1-year Post-Discharge Mortality Among Patients With Acute Heart Failure
B Rosand, D Radev, HM Krumholz, R Khera
Circulation 144 (Suppl_1), A13965-A13965, 2021
2021
Identifying Jets Using Linear Discriminant Analysis
S Checa, H Caines, B Rosand
APS Division of Nuclear Physics Meeting Abstracts 2017, EA. 076, 2017
2017
Identifying Jets Using Artifical Neural Networks
B Rosand, H Caines, S Checa
APS Division of Nuclear Physics Meeting Abstracts 2017, EA. 077, 2017
2017
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