A neural network model to predict lung radiation-induced pneumonitis

Medical Physics

Volumn 34, Issue 9, 2007, Pages 3420-3427

  Chen, Shifeng ^a   Zhou, Sumin ^a   Zhang, Junan ^a   Yin, Fang Fang ^a   Marks, Lawrence B ^a   Das, Shiva K ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Back propagation; Feed forward neural network; Modeling; Prediction; Radiation pneumonitis

Indexed keywords

BACKPROPAGATION; BIOLOGICAL ORGANS; CARBON MONOXIDE; CHEMOTHERAPY; CURVE FITTING; DETERIORATION; FORECASTING; MODELS; NETWORK ARCHITECTURE; RADIOTHERAPY;

AREA UNDER THE ROC CURVE; ERROR BACK PROPAGATION; GENERALIZATION CAPABILITY; GENERALIZED EQUIVALENT UNIFORM DOSE (GEUD); NEURAL NETWORK MODEL; RADIATION PNEUMONITIS; RECEIVER OPERATING CHARACTERISTICS CURVES (ROC); SATISFACTORY SOLUTIONS;

FEEDFORWARD NEURAL NETWORKS;

ANTINEOPLASTIC AGENT;

ALGORITHM; ARTICLE; CHEMOTHERAPY; CONTROLLED STUDY; DATA BASE; DOSE RESPONSE; FOLLOW UP; FORCED EXPIRATORY VOLUME; HUMAN; LUNG CANCER; LUNG VOLUME; MAJOR CLINICAL STUDY; METHODOLOGY; NERVE CELL NETWORK; PNEUMONIA; PRIORITY JOURNAL; RADIATION DOSE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; TRAINING;

EID: 34548317203     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2759601     Document Type: Article

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