The future of predictive models in radiation oncology: from extensive data mining to reliable modeling of the results

Future Oncology

Volumn 9, Issue 3, 2013, Pages 311-313

  Valentini, Vincenzo ^a   Dinapoli, Nicola ^a   Damiani, Andrea ^a  

^a CATHOLIC UNIVERSITY   (Italy)

Author keywords

data mining; dose response; large database; modeling; radiotherapy

Indexed keywords

CANCER RADIOTHERAPY; CANCER STAGING; COST EFFECTIVENESS ANALYSIS; DATA BASE; DOSE RESPONSE; DOSIMETRY; INTENSITY MODULATED RADIATION THERAPY; NUCLEAR MAGNETIC RESONANCE IMAGING; ONCOLOGY; POSITRON EMISSION TOMOGRAPHY; PRACTICE GUIDELINE; PRIORITY JOURNAL; REVIEW;

DATA MINING; HUMANS; MODELS, BIOLOGICAL; NEOPLASMS; PRACTICE GUIDELINES AS TOPIC; RADIATION ONCOLOGY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 84874891936     PISSN: 14796694     EISSN: 17448301     Source Type: Journal    
DOI: 10.2217/fon.12.197     Document Type: Review

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