Using patient data similarities to predict radiation pneumonitis via a self-organizing map

Physics in Medicine and Biology

Volumn 53, Issue 1, 2008, Pages 203-216

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

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; MATHEMATICAL MODELS; RADIOTHERAPY; SELF ORGANIZING MAPS; TUMORS;

LUNG CANCER; RADIATION PNEUMONITIS;

DATA ACQUISITION;

ADULT; AGED; ARTICLE; CANCER CHEMOTHERAPY; CANCER PATIENT; CANCER RADIOTHERAPY; CANCER STAGING; DATA BASE; FEMALE; HUMAN; LUNG CANCER; LUNG NON SMALL CELL CANCER; LUNG SMALL CELL CANCER; MAJOR CLINICAL STUDY; MALE; PATIENT CODING; PRIORITY JOURNAL; RADIATION DOSE; RADIATION DOSE FRACTIONATION; RADIATION HAZARD; RADIATION PNEUMONIA; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; TUMOR LOCALIZATION;

ADULT; AGED; AGED, 80 AND OVER; BIOPHYSICS; DATABASES, FACTUAL; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; RADIATION PNEUMONITIS; RADIOTHERAPY DOSAGE; RADIOTHERAPY, CONFORMAL; RISK FACTORS; ROC CURVE;

EID: 38049022531     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/53/1/014     Document Type: Article

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