Emily Alsentzer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Natural Language

Automatic Summarization

Extractive Summarization

Top Venues

Publications

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 (2024)
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)
Emily Alsentzer, Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu-Jones, Kathryn J. Gray, David W. Bates, Vesela P. Kovacheva
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. npj Digit. Medicine 6 (2023)
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 (2023)
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)
Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron Wallace, Adam Wright
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA (2021)
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)
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 (2021)
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 (2021)
Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad
Exploring Automatic Summarization of the Hospital Course. AMIA (2021)
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)
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)
Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik
Subgraph Neural Networks. NeurIPS (2020)
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 (2020)
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
ML4H Abstract Track 2020. CoRR (2020)
Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik
Subgraph Neural Networks. CoRR (2020)
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 (2020)
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott
Publicly Available Clinical BERT Embeddings. CoRR (2019)
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)
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)
Emily Alsentzer, Anne Kim
Extractive Summarization of EHR Discharge Notes. CoRR (2018)
Albee Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty
Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA (2018)