Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Objective: The aim of this study was to establish a statistical model for prediction neonatal deaths. Methods: A case-control study was carried out in the State of Maranhao, Northeast Brazil. The ...

There are many techniques that have been developed in data analytics. In this short course, we will focus on classification, or supervised learning techniques. These approaches include linear ...

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...

Journal of Vegetation Science, Vol. 14, No. 5 (Oct., 2003), pp. 669-680 (12 pages) Statistical models of the realized niche of species are increasingly used, but systematic comparisons of alternative ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

A non-specific hip pain classification tree had a mean (SE) sensitivity and specificity of 0.78 (0.058) and 0.28 (0.080). Conclusions Patients with LHP in the absence of difficulty with manipulating ...