Predicting Lung Radiotherapy-Induced Pneumonitis Using a Model Combining Parametric Lyman Probit With Nonparametric Decision Trees

International Journal of Radiation Oncology Biology Physics

Volumn 68, Issue 4, 2007, Pages 1212-1221

  Das, Shiva K ^a   Zhou, Sumin ^a   Zhang, Junan ^a   Yin, Fang Fang ^a   Dewhirst, Mark W ^a   Marks, Lawrence B ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Lung; Models; Pneumonitis; Prediction; Radiotherapy

Indexed keywords

LUNG; PNEUMONITIS;

CARDIOVASCULAR SYSTEM; DISEASES; DOSIMETERS; HISTOLOGY; ONCOLOGY; PHYSIOLOGICAL MODELS;

RADIOTHERAPY;

ACCURACY; ADULT; AGED; ARCHITECTURE; AREA UNDER THE CURVE; ARTICLE; CANCER PATIENT; CANCER RADIOTHERAPY; CONTROLLED STUDY; DATA BASE; DECISION TREE; FEMALE; HISTOLOGY; HUMAN; LUNG CANCER; MALE; NONPARAMETRIC TEST; PNEUMONIA; PREDICTION; PRIORITY JOURNAL;

ADULT; AGED; AGED, 80 AND OVER; DECISION TREES; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; RADIATION PNEUMONITIS; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 34447266924     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2007.03.064     Document Type: Article

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