Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy
Publication
, Conference
Hong, JC; Tanksley, J; Niedzwiecki, D; Palta, M; Tenenbaum, JD
Published in: International Journal of Radiation Oncology*Biology*Physics
September 2019
Duke Scholars
Published In
International Journal of Radiation Oncology*Biology*Physics
DOI
ISSN
0360-3016
Publication Date
September 2019
Volume
105
Issue
1
Start / End Page
S70 / S70
Publisher
Elsevier BV
Related Subject Headings
- Oncology & Carcinogenesis
- 5105 Medical and biological physics
- 3407 Theoretical and computational chemistry
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis
- 1103 Clinical Sciences
- 0299 Other Physical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Hong, J. C., Tanksley, J., Niedzwiecki, D., Palta, M., & Tenenbaum, J. D. (2019). Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy. In International Journal of Radiation Oncology*Biology*Physics (Vol. 105, pp. S70–S70). Elsevier BV. https://doi.org/10.1016/j.ijrobp.2019.06.522
Hong, J. C., J. Tanksley, D. Niedzwiecki, M. Palta, and J. D. Tenenbaum. “Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy.” In International Journal of Radiation Oncology*Biology*Physics, 105:S70–S70. Elsevier BV, 2019. https://doi.org/10.1016/j.ijrobp.2019.06.522.
Hong JC, Tanksley J, Niedzwiecki D, Palta M, Tenenbaum JD. Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy. In: International Journal of Radiation Oncology*Biology*Physics. Elsevier BV; 2019. p. S70–S70.
Hong, J. C., et al. “Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy.” International Journal of Radiation Oncology*Biology*Physics, vol. 105, no. 1, Elsevier BV, 2019, pp. S70–S70. Crossref, doi:10.1016/j.ijrobp.2019.06.522.
Hong JC, Tanksley J, Niedzwiecki D, Palta M, Tenenbaum JD. Accuracy of a Natural Language Processing Pipeline to Identify Patient Symptoms during Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. Elsevier BV; 2019. p. S70–S70.
Published In
International Journal of Radiation Oncology*Biology*Physics
DOI
ISSN
0360-3016
Publication Date
September 2019
Volume
105
Issue
1
Start / End Page
S70 / S70
Publisher
Elsevier BV
Related Subject Headings
- Oncology & Carcinogenesis
- 5105 Medical and biological physics
- 3407 Theoretical and computational chemistry
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis
- 1103 Clinical Sciences
- 0299 Other Physical Sciences