| Publicly available clinical BERT embeddings E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ... arXiv preprint arXiv:1904.03323, 2019 | 2094 | 2019 |
| Subgraph neural networks E Alsentzer, S Finlayson, M Li, M Zitnik Advances in Neural Information Processing Systems 33, 8017-8029, 2020 | 124 | 2020 |
| Do we still need clinical language models? E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, D Nadler, ... Conference on Health, Inference, and Learning, 578-597, 2023 | 74 | 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 | 63 | 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 | 59 | 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 | 47 | 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 | 42 | 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 | 37 | 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 | 36 | 2022 |
| Extractive summarization of ehr discharge notes E Alsentzer, A Kim arXiv preprint arXiv:1810.12085, 2018 | 27 | 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 | 22 | 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 | 21 | 2020 |
| 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 | 17 | 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 | 16 | 2023 |
| 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 | 11 | 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 | 10 | 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 | 6 | 2023 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics在 hms.harvard.edu 的电子邮件经过验证
