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

S. Chen, M. Guevara, N. Ramirez, A. Murray, J. Warner, H. Aerts, T. Miller, G. Savova, R. Mak, and D. Bitterman. CoRR, (2023)

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Danielle Hartung

Berufsspezifische arbeits- und ernährungsbedingte Herz-Kreislauf-Risiken sowie präventive MaßnahmenD. Hartung. Uni Jena, (2009)

Danielle Dennewald

Danielle Lauer

Danielle Hoja

Danielle Lemaire

Other publications of authors with the same name

Large Language Models to Identify Social Determinants of Health in Electronic Health Records.M. Guevara, S. Chen, S. Thomas, T. Chaunzwa, I. Franco, B. Kann, S. Moningi, J. Qian, M. Goldstein, S. Harper and 4 other author(s). CoRR, (2023)The impact of using an AI chatbot to respond to patient messages.S. Chen, M. Guevara, S. Moningi, F. Hoebers, H. Elhalawani, B. Kann, F. Chipidza, J. Leeman, H. Aerts, T. Miller and 5 other author(s). CoRR, (2023)Considerations for health care institutions training large language models on electronic health records.W. Zhou, D. Bitterman, M. Afshar, and T. Miller. CoRR, (2023)Large language models to identify social determinants of health in electronic health records.M. Guevara, S. Chen, S. Thomas, T. Chaunzwa, I. Franco, B. Kann, S. Moningi, J. Qian, M. Goldstein, S. Harper and 5 other author(s). npj Digit. Medicine, (2024)Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification.S. Chen, Y. Li, S. Lu, H. Van, H. Aerts, G. Savova, and D. Bitterman. CoRR, (2023)Extracting Relations between Radiotherapy Treatment Details.D. Bitterman, T. Miller, D. Harris, C. Lin, S. Finan, J. Warner, R. Mak, and G. Savova. ClinicalNLP@EMNLP, page 194-200. Association for Computational Linguistics, (2020)Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy.S. Chen, M. Guevara, N. Ramirez, A. Murray, J. Warner, H. Aerts, T. Miller, G. Savova, R. Mak, and D. Bitterman. CoRR, (2023)Classifying unstructured electronic consult messages to understand primary care physician specialty information needs.X. Ding, M. Barnett, A. Mehrotra, D. Tuot, D. Bitterman, and T. Miller. J. Am. Medical Informatics Assoc., 29 (9): 1607-1617 (2022)Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.S. Chen, J. Gallifant, M. Guevara, Y. Gao, M. Afshar, T. Miller, D. Dligach, and D. Bitterman. CoRR, (2024)Evaluating the ChatGPT family of models for biomedical reasoning and classification.S. Chen, Y. Li, S. Lu, H. Van, H. Aerts, G. Savova, and D. Bitterman. J. Am. Medical Informatics Assoc., 31 (4): 940-948 (2024)

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Disambiguation of "Bitterman, Danielle S."

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

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lauer

Danielle Hoja

Danielle Lemaire

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bitterman, Danielle S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy.

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lauer

Danielle Hoja

Danielle Lemaire

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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