Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study
Publication
, Conference
Hong, JC; Eclov, N; Stephens, SJ; Mowery, YM; Tenenbaum, JD; Palta, M
Published in: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
2020
Duke Scholars
Published In
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
EISSN
1879-355X
ISSN
0360-3016
Publication Date
2020
Volume
108
Issue
3
Start / End Page
E780 / E780
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., Eclov, N., Stephens, S. J., Mowery, Y. M., Tenenbaum, J. D., & Palta, M. (2020). Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study. In INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (Vol. 108, pp. E780–E780).
Hong, J. C., N. Eclov, S. J. Stephens, Y. M. Mowery, J. D. Tenenbaum, and M. Palta. “Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study.” In INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 108:E780–E780, 2020.
Hong JC, Eclov N, Stephens SJ, Mowery YM, Tenenbaum JD, Palta M. Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study. In: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2020. p. E780–E780.
Hong, J. C., et al. “Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study.” INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 108, no. 3, 2020, pp. E780–E780.
Hong JC, Eclov N, Stephens SJ, Mowery YM, Tenenbaum JD, Palta M. Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2020. p. E780–E780.
Published In
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
EISSN
1879-355X
ISSN
0360-3016
Publication Date
2020
Volume
108
Issue
3
Start / End Page
E780 / E780
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