Danielle S. Bitterman

According to our database, Danielle S. Bitterman authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Large language models to identify social determinants of health in electronic health records.

Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

npj Digit. Medicine, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

2023

The impact of using an AI chatbot to respond to patient messages.

Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann, Fallon E. Chipidza, Jonathan Leeman, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman

CoRR, 2023

Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly.

Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych

CoRR, 2023

Considerations for health care institutions training large language models on electronic health records.

Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller

CoRR, 2023

Large Language Models to Identify Social Determinants of Health in Electronic Health Records.

Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

CoRR, 2023

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification.

Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman

CoRR, 2023

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy.

Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L. Warner, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman

CoRR, 2023

Measuring Pointwise \mathcalV-Usable Information In-Context-ly.

Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Classifying unstructured electronic consult messages to understand primary care physician specialty information needs.

Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Delphine S. Tuot, Danielle S. Bitterman, Timothy A. Miller

J. Am. Medical Informatics Assoc., 2022

2021

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer.

Roman Zeleznik, Jakob Weiss, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts

npj Digit. Medicine, 2021

2020

Extracting Relations between Radiotherapy Treatment Details.

Danielle S. Bitterman, Timothy A. Miller, David Harris, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond H. Mak, Guergana Savova

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020