Results 231 to 240 of about 10,309 (278)

Classification and regression trees (CART) for estimation of prognosis in patients with gastric carcinoma

Journal of Cancer Research and Clinical Oncology, 1994
A total of 961 patients who had received resective surgery for gastric carcinoma were grouped according to prognosis by classification and regression trees (CART). This grouping was compared to the present UICC stage grouping. For patients resected for cure (R0) the CART approach allows a better discrimination of patients with poor prognosis (5-year ...
P, Hermanek, I, Guggenmoos-Holzmann
openaire   +2 more sources

Schmerztypische Diagnosemuster in Routinedaten – Identifikation Mittels Classification and Regression Trees (CART)

Gesundheitswesen, 2010
The identification of beneficiaries with persistent, recurrent or chronic pain in claims data by means of individual diagnoses or analgesic prescription is not sufficient and reliable. By using CLASSIFICATION AND REGRESSION TREES (CART) it was possible to identify specific diagnosis patterns for patients suffering from pain.
Holger Göthe, A Höer, G Schiffhorst
exaly   +2 more sources

Integrating classification and regression tree (CART) with GIS for assessment of heavy metals pollution

Environmental Monitoring and Assessment, 2008
The classification and regression tree (CART) model integrated with geographical information systems and the assessment of heavy-metals pollution system was developed to assess the heavy metals pollution in Fuyang, Zhejiang, China. The integration of the decision tree model with ArcGIS Engine 9 using a COM implementation in Microsoft Visual Basic 6.0 ...
Wei, Cheng, Xiuying, Zhang, Ke, Wang, Xuelong, Dai   +3 more
openaire   +2 more sources

Classification and Regression Trees (CART)

2008
In this chapter, we consider tree structures as part of a further transition from conventional regression to statistical learning. Classification and Regression Trees (CART) is emphasized. Tree structures are less important as stand-alone data analysis procedures than in the past.
openaire   +1 more source

MR-CART: Multiresponse optimization using a classification and regression tree method

Quality Engineering, 2021
The conventional approach for optimizing multiresponse is fitting multiple response surface models and then analyzing them to obtain optimal settings for the input variables.
Dong-Hee Lee, So-Hee Kim, Eun-Su Kim, Kwang-Jae Kim, Zhen He   +4 more
openaire   +2 more sources

On the determinants of happiness: a classification and regression tree (CART) approach

Applied Economics Letters, 2015
This article studies the determinants of the individual’s subjective well-being by applying a classification and regression tree (CART) analysis to data from the Survey on Household Income and Wealth (SHIW) provided by the Bank of Italy. The results support the primary importance of economic conditions but show that their effect is heterogeneously ...
openaire   +3 more sources

Binary Partitioning for CART (Classification and Regression Tree) Methods

2012
Binary partitioning is used to determine the best fit decision cut-off levels for a dataset with false positive and false negative patients. It serves a purpose similar to that of the receiver operating characteristic (ROC) curve method, but, unlike ROC curves, it is adjusted for the magnitude of the samples, and therefore more precise.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Use of classification and regression trees (CART) to classify remotely-sensed digital images

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Binary tree-structured rules can be viewed in terms of repeated splits of subsets of the feature space into two descendant subsets, starting from the entire feature space and ending in a partition of the feature space associated with each class.
Helio Radke Bittencourt, Robin T. Clarke
openaire   +2 more sources

GIS-Based Regionalization of Soil Profiles With Classification and Regression Trees (CART)

Journal of Plant Nutrition and Soil Science, 2002
A map of soil texture profiles was derived from readily available spatial data in combination with information from soil profiles using CART (classification and regression trees). The primary purpose was to provide a regionalized predictor for the vertical hydraulic conductivity profiles to be used as an input variable to an evapo-transpiration model ...
Bernd Huwe
exaly   +2 more sources

Inverse Modeling Aided by the Classification and Regression Tree (CART) Algorithm

2017
Inverse modeling in hydrogeology is a powerful tool to improve the characterization of hydraulic conductivity and porosity. In the last few years, the use of data assimilation techniques, such as the ensemble Kalman filter, has proven very effective in this field.
Julio César Gutiérrez-Esparza, J. Jaime Gómez-Hernández   +1 more
openaire   +1 more source