Work

Decision Tree Predicting the Tumor Shrinkage for Head-and-Neck Cancer: Implications for Adaptive Radiation Therapy

Year: 2013

Type: article

Abstract: To identify the characteristics of the head and neck cancer patients that will predict for higher tumor shrinkage during the course of radiation therapy, a decision tree induction algorithm was implemented.

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2013.06.1166

Authors: M. Surucu, K.K. Shah, I. Mescioglu, J. Roeske, J. Breuning, D. Dave, B. Emami

Institutions: Loyola University Medical Center, Lewis University

Language: English

Topic: Head and Neck Cancer Studies

Subfield: Otorhinolaryngology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,130

OpenAlex ID: W2117182505

FWCI:

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