Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy

Medical Physics

Volumn 37, Issue 4, 2010, Pages 1400-1407

  Jayasurya, K ^a   Fung, G ^a   Yu, S ^a   Dehing Oberije, C ^b   De Ruysscher, D ^b   Hope, A ^c   De Neve, W ^d   Lievens, Y ^e   Lambin, P ^a   Dekker, A L A J ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^c PRINCESS MARGARET HOSPITAL   (Canada)

^d GHENT UNIVERSITY HOSPITAL   (Belgium)

^e UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Bayesian network; Imputation; Non small cell lung cancer; Probabilistic inference; Survival

Indexed keywords

BAYESIAN NETWORKS; BIOLOGICAL ORGANS; DATA HANDLING; DISEASES; FORECASTING; PATIENT MONITORING; RADIOTHERAPY; SUPPORT VECTOR MACHINES;

IMPUTATION; MACHINE LEARNING MODELS; NON SMALL CELL LUNG CANCER; POSITIVE LYMPH NODES; PROBABILISTIC INFERENCE; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE MODELS; SURVIVAL;

LEARNING SYSTEMS;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; COMPARATIVE STUDY; COMPUTER ASSISTED RADIOTHERAPY; HUMAN; LUNG NON SMALL CELL CANCER; LUNG TUMOR; LYMPH NODE METASTASIS; METHODOLOGY; POSITRON EMISSION TOMOGRAPHY; PROBABILITY; RADIOTHERAPY; TREATMENT OUTCOME;

ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; LUNG NEOPLASMS; LYMPHATIC METASTASIS; NEURAL NETWORKS (COMPUTER); POSITRON-EMISSION TOMOGRAPHY; PROBABILITY; RADIOTHERAPY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 77950565847     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3352709     Document Type: Article

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