Combining multiple models to generate consensus: Application to radiation-induced pneumonitis prediction

Medical Physics

Volumn 35, Issue 11, 2008, Pages 5098-5109

  Das, Shiva K ^a   Chen, Shifeng ^a   Deasy, Joseph O ^b   Zhou, Sumin ^a   Yin, Fang Fang ^a   Marks, Lawrence B ^c  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Decision fusion; Modeling; Multiple models; Prediction; Radiation pneumonitis

Indexed keywords

BIOLOGICAL ORGANS; CHEMOTHERAPY; CONFORMAL MAPPING; DECISION TREES; FORECASTING; MODELS; PATIENT MONITORING; RADIOTHERAPY; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

DECISION FUSION; EQUIVALENT UNIFORM DOSE; INDIVIDUAL COMPONENTS; MULTIVARIATE MODELS; PROBABILITY FUNCTIONS; RADIATION PNEUMONITIS; RECEIVER OPERATING CHARACTERISTICS; VALIDATED RESULTS;

PREDICTIVE ANALYTICS;

ADULT; AGED; ARTICLE; CANCER RADIOTHERAPY; CLINICAL ARTICLE; CONTROLLED STUDY; DECISION TREE; FEMALE; HUMAN; LUNG CANCER; LUNG FUNCTION; LUNG NON SMALL CELL CANCER; LUNG SMALL CELL CANCER; LUNG VOLUME; MALE; MODEL; NERVE CELL NETWORK; PREDICTION; PRIORITY JOURNAL; RADIATION DOSE; RADIATION PNEUMONIA; SUPPORT VECTOR MACHINE;

EID: 54949103624     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2996012     Document Type: Article

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