Emily Alsentzer

According to our database, Emily Alsentzer authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models.

Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen

CoRR, 2024

2023

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models.

Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva

npj Digit. Medicine, 2023

Do We Still Need Clinical Language Models?

Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer

Proceedings of the Conference on Health, Inference, and Learning, 2023

2021

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.

Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott

CoRR, 2021

Intimate Partner Violence and Injury Prediction From Radiology Reports.

Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization.

Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Machine Learning for Health (ML4H) 2021.

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

Proceedings of the Machine Learning for Health, 2021

Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing.

Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Exploring Automatic Summarization of the Hospital Course.

Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

ML4H Abstract Track 2020.

Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland

CoRR, 2020

ML4H Abstract Track 2019.

Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca

CoRR, 2020

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All.

Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland

Proceedings of the Machine Learning for Health Workshop, 2020

Subgraph Neural Networks.

Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Publicly Available Clinical BERT Embeddings.

Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

CoRR, 2019

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?

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

Proceedings of the Machine Learning for Health Workshop, 2019

Baselines for Chest X-Ray Report Generation.

William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits

Proceedings of the Machine Learning for Health Workshop, 2019

2018

Extractive Summarization of EHR Discharge Notes.

Emily Alsentzer, Anne Kim

CoRR, 2018

Scalable Electronic Phenotyping For Studying Patient Comorbidities.

Albee Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty

Proceedings of the AMIA 2018, 2018