Nature

Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population

Obstructive airway disease is defined by reduced FEV₁ and an FEV₁/FVC ratio below 70%. While pulmonary function testing is essential, few studies have used demographic, biochemical, and lifestyle data ...
Nature

Evaluating algorithms of decision tree, support vector machine and regression for anode side catalyst data in proton exchange membrane water electrolysis

In recent years, concerns about global warming and its various environmental impacts, such as polar ice melting, acid rain, and rising sea levels, have become a primary focus for scientists. These ...
ascopubs.org

Predictive Factors of Chemotherapy-Induced Peripheral Neuropathy in Breast Cancer: A Decision Tree Model Approach

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...
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 ...