Emily Alsentzer
Emily Alsentzer
Postdoctoral Fellow, Harvard Medical School
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Publicly available clinical BERT embeddings
E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ...
arXiv preprint arXiv:1904.03323, 2019
Subgraph neural networks
E Alsentzer, S Finlayson, M Li, M Zitnik
Advances in Neural Information Processing Systems 33, 8017-8029, 2020
Do we still need clinical language models?
E Lehman, E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, ...
Conference on health, inference, and learning, 578-597, 2023
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ...
The Lancet Digital Health 6 (1), e12-e22, 2024
Baselines for chest x-ray report generation
W Boag, TMH Hsu, M McDermott, G Berner, E Alesentzer, P Szolovits
Machine learning for health workshop, 126-140, 2020
What’s in a summary? laying the groundwork for advances in hospital-course summarization
G Adams, E Alsentzer, M Ketenci, J Zucker, N Elhadad
Proceedings of the conference. Association for Computational Linguistics …, 2021
The effect of microbial colonization on the host proteome varies by gastrointestinal location
JS Lichtman, E Alsentzer, M Jaffe, D Sprockett, E Masutani, E Ikwa, ...
The ISME journal 10 (5), 1170-1181, 2016
Investigating inequities in hospital care among lesbian, gay, bisexual, and transgender (LGBT) individuals using social media
Y Hswen, KC Sewalk, E Alsentzer, G Tuli, JS Brownstein, JB Hawkins
Social science & medicine 215, 92-97, 2018
Mitigating the impact of biased artificial intelligence in emergency decision-making
H Adam, A Balagopalan, E Alsentzer, F Christia, M Ghassemi
Communications Medicine 2 (1), 149, 2022
Extractive summarization of ehr discharge notes
E Alsentzer, A Kim
arXiv preprint arXiv:1810.12085, 2018
Proceedings of the 2nd Clinical Natural Language Processing Workshop
E Alsentzer, J Murphy, W Boag, WH Weng, D Jindi, T Naumann, ...
Minneapolis, MN, 2019
Intimate partner violence and injury prediction from radiology reports
IY Chen, E Alsentzer, H Park, R Thomas, B Gosangi, R Gujrathi, ...
BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 55-66, 2020
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models
E Alsentzer, MJ Rasmussen, R Fontoura, AL Cull, B Beaulieu-Jones, ...
NPJ Digital Medicine 6 (1), 212, 2023
Machine learning for health (ML4H) 2020: Advancing healthcare for all
SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ...
Machine Learning for Health, 1-11, 2020
Coding Inequity: Assessing GPT-4's Potential for Perpetuating Racial and Gender Biases in Healthcare
T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ...
medRxiv, 2023.07. 13.23292577, 2023
An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty
D Joshi, E Alsentzer, K Edwards, A Norton, SE Williams
Vaccine 32 (28), 3469-3472, 2014
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study
BK Beaulieu-Jones, MF Villamar, P Scordis, AP Bartmann, W Ali, ...
The Lancet Digital Health 5 (12), e882-e894, 2023
Machine learning for health (ml4h) 2021
S Roy, S Pfohl, GA Tadesse, L Oala, F Falck, Y Zhou, L Shen, G Zamzmi, ...
Machine Learning for Health, 1-12, 2021
Assessing 3 outbreak detection algorithms in an electronic syndromic surveillance system in a resource-limited setting
E Alsentzer, SB Ballard, J Neyra, DM Vera, VB Osorio, J Quispe, ...
Emerging Infectious Diseases 26 (9), 2196, 2020
Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?
AV Dalca, MBA McDermott, E Alsentzer, SG Finlayson, M Oberst, F Falck, ...
Machine Learning for Health Workshop, 1-9, 2020
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20