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Volumn , Issue , 2010, Pages 1775-1778
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Non-parametric Kernel density estimation for the prediction of neoadjuvant chemotherapy outcomes
c
HÔPITAL TENON
(France)
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Author keywords
[No Author keywords available]
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Indexed keywords
BAYESIAN CLASSIFIER;
INPUT SPACE;
KERNEL DENSITY ESTIMATION;
LOCAL MODEL;
LOGISTIC REGRESSIONS;
NON-PARAMETRIC;
PATHOLOGIC COMPLETE RESPONSE (PCR);
STATISTICAL MODELS;
CHEMOTHERAPY;
ADJUVANT CHEMOTHERAPY;
ADJUVANT THERAPY;
ALGORITHM;
ARTICLE;
BRAZIL;
BREAST TUMOR;
METHODOLOGY;
MORTALITY;
OUTCOME ASSESSMENT;
PREVALENCE;
PROGNOSIS;
PROPORTIONAL HAZARDS MODEL;
REPRODUCIBILITY;
RISK ASSESSMENT;
RISK FACTOR;
SENSITIVITY AND SPECIFICITY;
SURVIVAL;
SURVIVAL RATE;
ALGORITHMS;
BRAZIL;
BREAST NEOPLASMS;
CHEMOTHERAPY, ADJUVANT;
NEOADJUVANT THERAPY;
OUTCOME ASSESSMENT (HEALTH CARE);
PREVALENCE;
PROGNOSIS;
PROPORTIONAL HAZARDS MODELS;
REPRODUCIBILITY OF RESULTS;
RISK ASSESSMENT;
RISK FACTORS;
SENSITIVITY AND SPECIFICITY;
SURVIVAL ANALYSIS;
SURVIVAL RATE;
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EID: 78650811979
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2010.5626748 Document Type: Conference Paper |
Times cited : (3)
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References (10)
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