Publications

Emily Alsentzer, Matthew J Rasmussen, Romy Fontoura, Alexis L Cull, Brett Beaulieu-Jones, Kathryn J Gray, David W Bates, Vesela P Kovacheva. Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models. medRxiv, 2023.

Matthew G Crowson, Emily Alsentzer, Julie M Fiskio, David Bates. Towards Medical Billing Automation: NLP for Outpatient Clinician Note Classification. medRxiv, 2023.

Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair Johnson, Emily Alsentzer. Do We Still Need Clinical Language Models?. Conference on Health, Inference, and Learning, 2023.

Travis Zack, Eric Lehman, Mirac Suzgun, Jorge A Rodriguez, Leo Anthony Celi, Judy Gichoya, Dan Jurafsky, Peter Szolovits, David W Bates, Raja-Elie E Abdulnour, Atul Butte, Emily Alsentzer. Coding Inequity: Assessing GPT-4's Potential for Perpetuating Racial and Gender Biases in Healthcare. medRxiv, 2023.

Emily Alsentzer, Samuel G Finlayson, Michelle M Li, Undiagnosed Diseases Network, Shilpa N Kobren, Isaac S Kohane. Simulation of undiagnosed patients with novel genetic conditions. medRxiv, 2022.

Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi. Mitigating the impact of biased artificial intelligence in emergency decision-making. Communications Medicine, 2022.

Peter Szolovits, Emily Alsentzer. Knowledge-Based Systems in Medicine. Intelligent Systems in Medicine and Health: The Role of AI, 2022.

Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi. Just Following AI Orders: When Unbiased People Are Influenced By Biased AI. Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022.

Emily Alsentzer. Few Shot Learning for Rare Disease Diagnosis. 2022.

Emily Alsentzer, Michelle M Li, Shilpa N Kobren, Undiagnosed Diseases Network, Isaac S Kohane, Marinka Zitnik. Deep learning for diagnosing patients with rare genetic diseases. medRxiv, 2022.

Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad. What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. arXiv preprint arXiv:2105.00816, 2021.

Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew BA McDermott, Emily Alsentzer. Machine learning for health (ml4h) 2021. Machine Learning for Health, 2021.

Emily Alsentzer, Samuel Finlayson, Michelle Li, Marinka Zitnik. Subgraph Neural Networks. Advances in Neural Information Processing Systems, 2020.

Emily Alsentzer, Matthew McDermott, Fabian Falck, Suproteem K Sarkar, Subhrajit Roy, Stephanie L Hyland. ML4H Abstract Track 2020. arXiv e-prints, 2020.

Matthew McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K Beaulieu-Jones, Adrian V Dalca. ML4H Abstract Track 2019. arXiv preprint arXiv:2002.01584, 2020.

Suproteem K Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew BA McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L Hyland. Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. Machine Learning for Health, 2020.

Adrian V Dalca, Matthew BA McDermott, Emily Alsentzer, Samuel G Finlayson, Michael Oberst, Fabian Falck, Corey Chivers, Andrew Beam, Tristan Naumann, Brett Beaulieu-Jones. Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?. Machine Learning for Health Workshop, 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. BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 2020.

William Boag, Tzu-Ming Harry Hsu, Matthew McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits. Baselines for chest x-ray report generation. Machine Learning for Health Workshop, 2020.

Emily Alsentzer, Sarah-Blythe Ballard, Joan Neyra, Delphis M Vera, Victor B Osorio, Jose Quispe, David L Blazes, Luis Loayza. Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting. Emerging infectious diseases, 2020.

Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, Matthew McDermott. Publicly Available Clinical BERT Embeddings. Proceedings of the 2nd Clinical Natural Language Processing Workshop, 2019.

Albee Y Ling, Emily Alsentzer, Josephine Chen, Juan M Banda, Suzanne Tamang, Evan Minty. Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA Annual Symposium Proceedings, 2018.

Yulin Hswen, Kara C Sewalk, Emily Alsentzer, Gaurav Tuli, John S Brownstein, Jared B Hawkins. Investigating inequities in hospital care among lesbian, gay, bisexual, and transgender (LGBT) individuals using social media. Social Science & Medicine, 2018.

Emily Alsentzer, Anne Kim. Extractive summarization of ehr discharge notes. arXiv preprint arXiv:1810.12085, 2018.

Joshua S Lichtman, Emily Alsentzer, Mia Jaffe, Daniel Sprockett, Evan Masutani, Elvis Ikwa, Gabriela K Fragiadakis, David Clifford, Bevan Emma Huang, Justin L Sonnenburg, others. The effect of microbial colonization on the host proteome varies by gastrointestinal location. The ISME journal, 2016.

Emily Alsentzer, Delphis M Vera, Joan Neyra, Luis Loayza, Ricardo A Hora, Victor B Osorio, Jose Quispe, Sarah-Blythe Ballard, David Blazes. Monitoring Acute Diarrhea via an Electronic Surveillance System in the Peruvian Navy. Online journal of public health informatics, 2015.

Deepa Joshi, Emily Alsentzer, Kathryn Edwards, Allison Norton, Sarah Elizabeth Williams. An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty. Vaccine, 2014.

Emily Alsentzer, Jennifer M Noto, W Hayes McDonald, Richard M Peek Jr. Identification of Novel Helicobacter pylori Adhesins that Bind the Host Cell Receptor Decay-Accelerating Factor (DAF). 2012.