decision tree

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de·ci·sion tree

(dē-sizh'ŭn trē),
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

decision tree

a systematic method of managing a problem by graphically organizing the probabilities of outcomes of alternative treatments. At each decision node or branch a possible alternative is matched with its relative worth, quality of life, freedom from disability, and other factors on which a prognosis may be based.

decision tree

Decision-making A schematic representation of the major steps taken in a clinical decision algorithm; a DT begins with the statement of a clinical problem that can be followed along branches, based on the presence or absence of certain objective features, and eventually arrive at a conclusion

de·ci·sion tree

(dĕ-sizh'ŭn trē)
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

de·ci·sion tree

(dĕ-sizh'ŭn trē)
A graphic construct showing available choices at each decision node of managing a clinical problem along with probabilities (if known) of possible outcomes for patient's freedom from disability, life expectancy, and mortality.

decision tree,

n an algorithm or a formal stepwise process used in coming to a conclusion or making a judgment.

decision

a choice between a number of possible answers to a question.

decision analysis
a systematic approach to decision making under conditions of imperfect knowledge; a practical application of probability theory. Used to calculate the optimal strategy from among a series of alternative strategies. May be expressed graphically in the form of a decision tree (below).
decision making
making a decision can be done in three principal ways and many variations and mixtures of the methods: (1) rote, the decision is made on the basis of a set of rules and no selectivity is required; (2) intuitive, decisions are made on the basis of cerebrally stored information and reasoning systems which permit a fast response. The increasing complexity of veterinary clinical questions increases the probability of error; (3) decision analysis, a means of solving complicated problems by including all of the factors that could possibly affect the outcome of the analysis in a series of sequential questions. This gives each of the factors an opportunity of affecting the outcome. The chance of error by omission can be eliminated but the process is prolonged.
decision theory
the theoretical basis for decision analysis.
decision tree
a diagrammatic representation of the possible outcomes and events used in decision analysis. The questions to be asked in an analysis of a question are arranged as a series of nodes each with a yes and no branch, creating an arborization effect. The sequential steps proceed with each step depending on the decision made in the preceding step.

tree

1. an anatomical structure with branches resembling a tree.
2. in information science, a decision tree.

bronchial tree
the trachea, bronchi and successive branching generations of the respiratory passages.
tree daffodil
thevetiaperuviana.
decision tree
see decision tree.
tree diagram
see decision tree.
tree lupin
lupinusarboreus.
tree nettle
see urtica.
tree shrew
primitive arboreal mammal that some taxonomists place with the primates. Like squirrels in shape and size. Called also Tupaia spp.
tree snake
a number of colubrid snakes that lead an arboreal existence and practice falling from trees with their body spread out, earning the name of flying snake.
tree tobacco
nicotianaglauca.
tracheobronchial tree
the trachea, bronchi and their branching structures.
tree zamia
cycasarmstrongii, C. media.
References in periodicals archive ?
Again, in decision tree making appeared similar variables that were detected by regression method: operative costs / assets ratio and GDP per capita.
Statistically meaningful independent variables on the dependent variable were utilized in constructing the decision tree diagram.
A tree like structure (termed as Decision Tree [18]) was generated by the software to determine a decision making rule or workflow to link the key geometric parameters and design results.
Ross Quinlan is so named because it is a descendant of the ID3 approach to inducing decision trees, a decision tree is a series of questions systematically arranged so that each question queries an attribute and branches based on the value of the attribute.
5 is the successor version of ID3, which is based on the ID3 algorithm and it is set as the core of the complete decision tree generation system, and training samples are used to estimate the accuracy of each rule (Santer, 1989).
The reasonable training sample sets can greatly improve the accuracy of decision trees for the next step.
There are three areas of importance to this proposal: expert systems, rules generation through decision trees, and graph pattern matching.
After applying the optimal decision trees, respectively, to the whole study area [6, 41], the groundwater potential zone maps were derived and shown in Figures 11 and 12.
Decision trees can also be illustrated as segmented space, as shown in Figure 2.
Their topics include training decision trees, evaluating classification trees, splitting criteria, popular decision trees induction algorithms, a walk-through guide for using decision trees software, the cost-sensitive active and proactive learning of decision trees, feature selection, and decision trees and recommender systems.
Most algorithms that have been developed for learning decision trees are varieties of core algorithms that employ a top-down, greedy search through the space of possible decision trees, these basic algorithms are called concept learning system (CLS) (1950).