Datamining approaches for modeling tumor control probability

Acta Oncologica

Volumn 49, Issue 8, 2010, Pages 1363-1373

  El Naqa, Issam ^a   Deasy, Joseph O ^a   Mu, Yi ^a   Huang, Ellen ^a   Hope, Andrew J ^b   Lindsay, Patricia E ^b   Apte, Aditya ^a   Alaly, James ^a   Bradley, Jeffrey D ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b PRINCESS MARGARET HOSPITAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIVARIATE ANALYSIS; CANCER PATIENT; CANCER RADIOTHERAPY; CORRELATION COEFFICIENT; DATA MINING; HUMAN; KERNEL METHOD; LOGISTIC REGRESSION ANALYSIS; LUNG NON SMALL CELL CANCER; MACHINE LEARNING; MAJOR CLINICAL STUDY; POISSON DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY SAMPLE; PROGNOSIS; PROSPECTIVE STUDY; RADIATION DOSE; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; TREATMENT RESPONSE; TUMOR CONTROL PROBABILITY; TUMOR MODEL; TUMOR VOLUME;

CARCINOMA, NON-SMALL-CELL LUNG; DOSE-RESPONSE RELATIONSHIP, RADIATION; HUMANS; LOGISTIC MODELS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASMS; POISSON DISTRIBUTION; PROBABILITY; PROGNOSIS; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC;

EID: 77958187748     PISSN: 0284186X     EISSN: 1651226X     Source Type: Journal    
DOI: 10.3109/02841861003649224     Document Type: Article

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