Survival prediction in lung cancer treated with radiotherapy: Bayesian networks vs. support vector machines in handling missing data

8th International Conference on Machine Learning and Applications, ICMLA 2009

Volumn , Issue , 2009, Pages 494-497

  Dekker, Andre ^a   Dehing Oberije, Cary ^a   De Ruysscher, Dirk ^a   Lambin, Philippe ^a   Hope, Andrew ^b   Komati, Kartik ^c   Fung, Glenn ^c   Yu, Shipeng ^c   De Neve, Wilfried ^d   Lievens, Yolande ^e  

^a MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^b PRINCESS MARGARET HOSPITAL   (Canada)

^c SIEMENS CORPORATE RESEARCH   (United States)

^d GHENT UNIVERSITY HOSPITAL   (Belgium)

^e UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Bayesian networks; Lung cancer; Radiotherapy

Indexed keywords

DATA SETS; LUNG CANCER; LUNG CANCER RADIOTHERAPY; LYMPH NODE; MACHINE-LEARNING; MEDICAL DOMAINS; MISSING DATA; SURVIVAL PREDICTION; SVM MODEL; TUMOR SIZE;

BIOLOGICAL ORGANS; DATA HANDLING; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; RADIOTHERAPY; SUPPORT VECTOR MACHINES; TUMORS;

BAYESIAN NETWORKS;

EID: 77950819874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.92     Document Type: Conference Paper

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