A study published in Infection Control & Hospital Epidemiology compared the use of logistic regression-derived risk scores and machine learning-derived decision trees for predicting ...

You can use decision trees to guide you in deciding among several alternatives. The decision-tree method allows you to approach the problem in a structured and systematic way to arrive at a logical ...

A two-step decision tree analysis, incorporating Donabedian’s model, is a feasible process to evaluate and distill the many available quality standards, guidelines, recommendations and indicators in ...

Decision trees — an approach to predicting whether patients develop resistance to antibiotics and tailored specifically to each institution — can aid clinicians in prescribing the drug or drug ...

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 ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Figure 1: Comprehensive probability of a high-confidence peptide identification. Figure 4: Distribution of identified peptides using CAD, ETD or DT methods. We then performed sequential CAD and ETD MS ...

The method of claim 13, wherein creating the anonymization rule set further comprises placing the first group of records, the second group of records and the subgroups of records into partition ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...