Results 21 to 30 of about 10,309 (278)
Barekeng, 2019 Classification and Regression Tree (CART) is one of the classification methods that are popularly used in various fields. The method is considered capable of dealing with various data conditions.
Gede Suwardika, I Ketut Putu Suniantara
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evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R
Journal of Statistical Software, 2014 Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search.
Thomas Grubinger +2 more
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, 2022 Note: lda—Linear Discriminant Analysis; glm—Generalized Linear Modeling; svm—Support Vector Machines; knn—K-Nearest Neighbor; nb—Naïve Bayes; cart—Classification and Regression Trees; c50—C5.0 Classification; treebag—Bootstrapped Aggregated Trees; rf ...
Cynthia A. Stifter (12413293) +30 more
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Classification and Regression Tree (CART) analysis to predict influenza in primary care patients [PDF]
BMC Infectious Diseases, 2016 The use of neuraminidase-inhibiting anti-viral medication to treat influenza is relatively infrequent. Rapid, cost-effective methods for diagnosing influenza are needed to enable appropriate prescribing. Multi-viral respiratory panels using reverse transcription polymerase chain reaction (PCR) assays to diagnose influenza are accurate but expensive and
Zimmerman, Richard K +14 more
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Classification and regression trees (CART) for predicting factors associated with RLS.
, 2020 Classification and regression trees (CART) for predicting factors associated with RLS.
Atsushi Kawakami (398370) +5 more
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Data-driven approach to machine condition prognosis using least square regression trees [PDF]
, 2007 Machine fault prognosis techniques have been considered profoundly in the recent time due to their profit for reducing unexpected faults or unscheduled maintenance.
Tran, Van Tung
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Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease [PDF]
PharmacoEconomics, 2015 Many guidelines for clinical decisions are hierarchical and nonlinear. Evaluating if these guidelines are used in practice requires methods that can identify such structures and thresholds. Classification and regression trees (CART) were used to analyse prescribing patterns of Australian general practitioners (GPs) for the primary prevention of ...
Schilling, C +5 more
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BMC Medical Research Methodology, 2004 Background We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric
Paccaud Fred, Costanza Michael C
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Inducing decision trees with an ant colony optimization algorithm [PDF]
, 2012 Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
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Classification and regression tree (CART) model to predict pulmonary tuberculosis in hospitalized patients [PDF]
BMC Pulmonary Medicine, 2012 Tuberculosis (TB) remains a public health issue worldwide. The lack of specific clinical symptoms to diagnose TB makes the correct decision to admit patients to respiratory isolation a difficult task for the clinician. Isolation of patients without the disease is common and increases health costs.
Aguiar Fabio S +5 more
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