Determining the Potential Habitat of Astragalus verus using CART Regression Decision Tree Algorithm (Case Study: West Isfahan Province)

This paper explores the socio-demographic variables (age, gender, ethnicity, education, work status, and disability) and study environment (course programme and course block), that may influence persistence or dropout of the distance education students at the Open Polytechnic. It examines to what extent these factors, i.e. enrolment data help us in preidentifying successful and unsuccessful stu...

OBJECTIVE To evaluate the feasibility of the CART (Classification and Regression Tree) procedure for the recognition of microscopic structures in tissue counter analysis. METHODS Digital microscopic images of H & E; stained slides of normal human skin and of primary malignant melanoma were overlayed with regularly distributed square measuring masks (elements) and grey value, texture and colou...

PURPOSE The ability to predict rectal tumor response to preoperative radiotherapy before treatment would significantly impact patient selection. In this study, classification and regression tree (CART) methods were used to model tumor response to preoperative conformal high-dose rate brachytherapy by assessing the predictive value of vascular endothelial growth factor (VEGF), Bcl-2, p21, p53, a...

OBJECTIVES The importance of the prediction of coronary heart disease (CHD) has been recognized in Korea; however, few studies have been conducted in this area. Therefore, it is necessary to develop a method for the prediction and classification of CHD in Koreans. METHODS A model for CHD prediction must be designed according to rule-based guidelines. In this study, a fuzzy logic and decision ...

Subclinical mastitis is an important udder disease that negatively affects both the animal health and reduces profitability in dairy farms. The increasing performance of thermal cameras over time their usability different areas increase use livestocks. Infrared thermography (IRT) technology a noninvasive method can estimate surface temperature objects. objective this study was to evaluate early...

In the medical field, many outcome variables are dichotomized, and the two possible values of a dichotomized variable are referred to as classes. A dichotomized dataset is class-imbalanced if it consists mostly of one class, and performance of common classification models on this type of dataset tends to be suboptimal. To tackle such a problem, resampling methods, including oversampling and und...

BACKGROUND In many studies, it is of interest to identify population subgroups that are relatively homogeneous with respect to an outcome. The nature of these subgroups can provide insight into effect mechanisms and suggest targets for tailored interventions. However, identifying relevant subgroups can be challenging with standard statistical methods. MAIN TEXT We review the literature on dec...

The soil pressure on the bottom surface of foot blades is an important monitoring point during sinking process large underwater caissons. Complex soil-structure interactions occur process, making it difficult to accurately predict blades. Accurate construction processes often rely data from in field. In this study, a data-driven approach used establish relationship between amount caisson and Fu...