Use of machine learning methods for prediction of acute toxicity in organs at risk following prostate radiotherapy

Medical Physics

Volumn 38, Issue 6, 2011, Pages 2859-2867

  Pella, Andrea ^a   Cambria, Raffaella ^b   Riboldi, Marco ^a,c   Jereczek Fossa, Barbara Alicja ^b,d   Fodor, Cristiana ^b   Zerini, Dario ^b   Torshabi, Ahmad Esmaili ^c   Cattani, Federica ^b   Garibaldi, Cristina ^b   Pedroli, Guido ^b   Baroni, Guido ^a,c   Orecchia, Roberto ^b,c,d  

^a POLITECNICO DI MILANO   (Italy)

^b EUROPEAN INSTITUTE OF ONCOLOGY   (Italy)

^c Centro Nazionale Adroterapia Oncologica CNAO   (Italy)

^d UNIVERSITY OF MILAN   (Italy)

Author keywords

artificial neural networks; machine learning in medicine; prostate cancer; radiotherapy; support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASES; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; PREDICTIVE ANALYTICS; RADIOTHERAPY; SUPPORT VECTOR MACHINES; TOXICITY; UROLOGY;

CLASSIFICATION CRITERION; CLASSIFICATION TECHNIQUE; LARGE-SCALE OPTIMIZATION; MACHINE LEARNING METHODS; MEDICAL DECISION MAKING; PROSTATE CANCERS; RECEIVER OPERATING CHARACTERISTIC CURVES; SENSITIVITY AND SPECIFICITY;

LEARNING SYSTEMS;

EID: 79958798015     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3582947     Document Type: Article

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