Work

Novel Use of Machine Learning for Predicting Radiation Esophagitis in Locally Advanced Stage II-III Non–small Cell Lung Cancer

Year: 2017

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2017.06.1743

Authors: J.M. Luna, G. Valdes, A.T. Berman, E.S. Diffenderfer, C. Chinniah, G. Ma, H.H. Chao, T.D. Solberg, C.B. Simone

Institutions: University of Pennsylvania, University of California, San Francisco, University of Maryland Medical Center

Language: English

Topic: Esophageal Cancer Research and Treatment

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: American Association for Women Radiologists, National Institutes of Health, National Cancer Institute

OpenAlex ID: W2760591741

FWCI: 0.281

Cites:

Cited by: 1

Related to: 10