AIMC Topic: Xerostomia

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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Prognosis Reproducibility of Results Lung Neoplasms Logistic Models Treatment Outcome Support Vector Machine Models, Statistical Radiation Oncology Radiotherapy Dosage Radiotherapy Esophagitis Radiation Pneumonitis Xerostomia
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