Using a Bayesian feature-selection algorithm to identify dose-response models based on the shape of the 3D dose-distribution: An example from a head-and-neck cancer trial

Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010

Volumn , Issue , 2010, Pages 740-745

  Buettnera, Florian ^a   Gulliford, Sarah L ^a   Webb, Steve ^a   Partridge, Mike ^a   Miah, Aisha B ^b   Harrington, Kevin J ^b   Nutting, Christopher M ^b  

^a INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^b ROYAL MARSDEN HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVES; BAYESIAN; BAYESIAN VARIABLE SELECTION; BEST MODEL; CROSS VALIDATION; DESCRIPTORS; DOSE DISTRIBUTIONS; DOSE-RESPONSE MODELS; FEATURE SELECTION; HEAD AND NECK; HEAD-AND-NECK CANCER; INFORMATION CRITERION; INTENSITY-MODULATED RADIOTHERAPY; JOINT MODELS; LEAVE-ONE-OUT; LOGISTIC REGRESSIONS; MARGINAL PROBABILITY; MEAN DOSE; MORPHOLOGICAL INFORMATION; MORPHOLOGICAL MODEL; PAROTID GLANDS; POSTERIOR PROBABILITY; POTENTIAL MODEL; PREDICTIVE POWER; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO ALGORITHM; SALIVARY FLOW; SELECTION ALGORITHM; SIDE EFFECT; SPATIAL INFORMATIONS; STATISTICAL MOMENTS; TUMOURS; XEROSTOMIA;

ALGORITHMS; BAYESIAN NETWORKS; DISEASES; FEATURE EXTRACTION; LEARNING SYSTEMS; MARKOV PROCESSES; PATIENT MONITORING; PHYSICAL THERAPY; RADIOTHERAPY; THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL;

EID: 79952430140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2010.113     Document Type: Conference Paper

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