Comparison of robustness against missing values of alternative decision tree and multiple logistic regression for predicting clinical data in primary breast cancer

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3054-3057

  Sugimoto, Masahiro ^a   Takada, Masahiro ^b   Toi, Masakazu ^b  

^a KEIO UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL INFORMATION; COMPLETE RESPONSE; MEDICAL FIELDS; MISSING VALUES; MULTIPLE LOGISTIC REGRESSION; NEOADJUVANT THERAPY; PREDICTION MODEL; TREATMENT OUTCOMES;

DATA MINING; DECISION TREES; DIAGNOSIS; DISEASES; REGRESSION ANALYSIS;

DECISION MAKING;

ADJUVANT THERAPY; ALGORITHM; AREA UNDER THE CURVE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BREAST NEOPLASMS; COMPUTER ASSISTED DIAGNOSIS; DATA MINING; DECISION TREE; DEVICES; FEMALE; HUMAN; MULTIVARIATE ANALYSIS; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL; TREATMENT OUTCOME;

ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BREAST NEOPLASMS; DATA MINING; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LOGISTIC MODELS; MULTIVARIATE ANALYSIS; NEOADJUVANT THERAPY; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 84886449650     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610185     Document Type: Conference Paper

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