Statistical learning methods as a preprocessing step for survival analysis: Evaluation of concept using lung cancer data

BioMedical Engineering Online

Volumn 10, Issue , 2011, Pages

  Behera, Madhusmita ^a   Fowler, Erin E ^b   Owonikoko, Taofeek K ^a   Land, Walker H ^c   Mayfield, William ^d   Chen, Zhengjia ^e   Khuri, Fadlo R ^a   Ramalingam, Suresh S ^a   Heine, John J ^b  

^a EMORY UNIVERSITY   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c State University of New York   (United States)

^d WellStar Kennestone Hospital   (United States)

^e EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE INTERVAL; COX REGRESSION; DATA SETS; DIFFERENTIAL EVOLUTION; HAZARD RATIO; HYBRID MODELING; KAPLAN-MEIER; LOGISTIC REGRESSIONS; LUNG CANCER; NON SMALL CELL LUNG CANCER; NON-LINEAR RELATIONSHIPS; ODDS RATIOS; PRE-PROCESSING STEP; PREDICTIVE CAPABILITIES; PROBABILISTIC NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTIC CURVES; SMALL DATA SET; STANDARD DEVIATION; STATISTICAL LEARNING; STATISTICAL LEARNING METHODS; STOCHASTIC METHODS; SURVIVAL ANALYSIS; TUMOR GRADES;

BIOLOGICAL ORGANS; DATA PROCESSING; DISEASES; EVOLUTIONARY ALGORITHMS; HAZARDS; LOGISTICS; NEURAL NETWORKS; TUMORS;

BIOINFORMATICS;

AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEMALE; HUMAN; KAPLAN MEIER METHOD; LUNG NON SMALL CELL CANCER; LUNG TUMOR; MALE; METHODOLOGY; MIDDLE AGED; NONLINEAR SYSTEM; PROGNOSIS; STATISTICAL MODEL; STATISTICS;

AGED; CARCINOMA, NON-SMALL-CELL LUNG; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; LOGISTIC MODELS; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PROGNOSIS; STATISTICS AS TOPIC; STOCHASTIC PROCESSES;

EID: 80455158268     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-97     Document Type: Article

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