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Emily Alsentzer
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2020 – today
- 2024
- [j2]Jorge Alberto Rodriguez
, Emily Alsentzer, David W. Bates
Leveraging large language models to foster equity in healthcare. J. Am. Medical Informatics Assoc. 31(9): 2147-2150 (2024) - [i10]Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen:
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. CoRR abs/2402.03597 (2024) - 2023
- [j1]Emily Alsentzer
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. npj Digit. Medicine 6 (2023) - [c11]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CHIL 2023: 578-597 - [i9]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CoRR abs/2302.08091 (2023) - 2021
- [c10]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad:
Exploring Automatic Summarization of the Hospital Course. AMIA 2021 - [c9]Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright:
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA 2021 - [c8]Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer:
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS 2021: 1-12 - [c7]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. NAACL-HLT 2021: 4794-4811 - [c6]Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. PSB 2021 - [e3]Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer:
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [i8]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. CoRR abs/2105.00816 (2021) - [i7]Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR abs/2112.00179 (2021) - 2020
- [c5]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. NeurIPS 2020 - [c4]Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland:
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS 2020: 1-11 - [e2]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020. Proceedings of Machine Learning Research 136, PMLR 2020 [contents] - [i6]Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca:
ML4H Abstract Track 2019. CoRR abs/2002.01584 (2020) - [i5]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. CoRR abs/2006.10538 (2020) - [i4]Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. CoRR abs/2009.09084 (2020) - [i3]Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
ML4H Abstract Track 2020. CoRR abs/2011.11554 (2020)
2010 – 2019
- 2019
- [c3]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett K. Beaulieu-Jones:
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 2019: 1-9 - [c2]William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits:
Baselines for Chest X-Ray Report Generation. ML4H@NeurIPS 2019: 126-140 - [e1]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones:
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Proceedings of Machine Learning Research 116, PMLR 2019 [contents] - [i2]Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. CoRR abs/1904.03323 (2019) - 2018
- [c1]Albee Y. Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty:
Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA 2018 - [i1]Emily Alsentzer, Anne Kim:
Extractive Summarization of EHR Discharge Notes. CoRR abs/1810.12085 (2018)
Coauthor Index
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last updated on 2024-09-21 23:42 CEST by the dblp team
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