BMJ

6.9 Two symptoms to triage acute concussions: using decision tree modeling to predict prolonged recovery following concussion

Objective The objective was to examine the 22 variables from the Sport Concussion Assessment Tool’s 5 th Edition (SCAT5) Symptom Evaluation using a decision tree analysis to identify those most likely ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the ...
Nature

Development of a decision tree model for predicting the malignancy of localized gingival enlargements based on clinical characteristics

The present study aimed to determine the prevalence of localized gingival enlargements (LGEs) and their clinical characteristics in a group of Thai patients, as well as utilize this information to ...
Nature

Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm

The prognosis of patients with out-of-hospital cardiac arrest (OHCA) has improved with the development of prehospital and postcardiac arrest care, but OHCA remains a health concern worldwide 1,2.
Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
Online Recruitment

5 Ways Decision Trees Can Help Make Better Decisions

Decision tree analysis is a method of constructing a decision tree, which is a detailed representation of numerous potential solutions that can be utilized to address a specific problem to choose the ...