The fundamental analytic tool for decision analysis, is a way of displaying the temporal and logical sequence of a clinical decision problem. Its form highlights tree structural components: The alternative actions that are available to the decision maker; the probabilistic events that follow from and affect these actions, such as clinical information obtained or the clinical consequences revealed; and the outcomes for the patient that are associated with each possible scenario of actions and consequences.
A series of questions used as a tool to analyze whether training is necessary to resolve a performance problem.
A diagrammatic representation in tree form of a risky decision problem.
A pictorial method of showing a sequence of interrelated decisions and their expected outcomes. Decision trees can incorporate both the probabilities of, and values of, expected outcomes, and are used in decision-making.
An analytical framework representing choices available, outcomes of those choices and probabilities of achieving those outcomes. ... more ...
a chronological representation of the decision process
a classification model, ie represents a relationship between some numerical or symbolic inputs (the attributes) and one symbolic output
a diagram that a decision maker can create to help select the best of several alternative courses of action
a divide and conquer supervised classification method which is very popular
a flow chart or diagram representing a classification system or predictive model
a graphical representation of a hierarchical set of rules that describe how one might evaluate or classify an object of interest based on the answers to a series of questions
a graphical representation of a sequential, or multi-period, decision making process
a graphical representation of the alternate pathways
a graphical representation of the decision analysis process
a graph-theoretic tree in which each interior node represents a decision point, conceptually incorporating an IF-THEN-ELSE statement, and each leaf node represents a final class label that should be assigned
a logical model represented as a binary (two-way split) tree that shows how the value of a target variable can be predicted by using the values of a set of predictor variables
a model of the data that encodes the distribution of the class label (again the Y) in terms of the predictor attributes
an excellent tool for this type of analysis because it shows which combination of attributes best predict the purchase of the product
a pictorial presentation of a potential decision
a predictive model that is used to make predictions through a classification process
a representation of a decision procedure for determining the classification of a given image
a rooted tree in which non-leaf nodes are labeled with explaining genes, the arcs from non-leaf nodes are labeled with possible characteristics of explaining genes, and the leaves of the tree are labeled with the states of the predicted gene
a set of questions, where a yes leads to one track with additional questions and a no leads to another, until finally a decision is reached
a simple structure where non-terminal nodes represent tests on one or more attributes and terminal nodes reflect decision outcomes
a structure which makes a decision at each node, and produces a result or prediction when no child node's constraints are satisfied
a tree in which each branch node represents a choice between a number of alternatives, and each leaf node represents a classification or decision
a tree in which each non- leaf node is labelled with an attribute or a question of some sort, and in which the branches at that node correspond to the possible values of the attribute, or answers to the question
A set of rules written in the form of a tree. At each node (branch point) a rule is examined, and a decision is made to take a particular branch, which in turn leads to the next node or to the end result.
a diagram that analyzes hiring, marketing, investment, equipment purchases, pricing, and similar decisions. Decision trees assign probabilities to each possible outcome and calculate payoffs for each decision path.
a hierarchical multi-way key, leading via a series of questions at the nodes of the tree to a decision at its leaves.
A type of expert system comprised of a branching structure of questions and possible responses designed to lead an agent to an appropriate solution to a customer's problem or provide needed information. Decision-tree structures resemble an organisation's hierarchy. Decision trees are most appropriate where the problem type is broad and shallow. Decision-tree systems work well for entry-level agents, because they walk the agents through specific questions and answers. However, senior agents may not want to step through each branch, since they usually know some of the questions and answers; they may feel that working through the tree process actually slows them down. See branch and expert system.
A treelike model of data produced by certain data mining methods. Decision trees can be used for prediction.
A method of representing knowledge, widely used for classification tasks, which makes structured decisions in a hierarchical tree-like fashion. Decision tree algorithms include Bayes.
form of flow diagram in which readers are routed according to their response to questions, usually consisting of graphic rectangles and diamonds connected with lines and arrows.
A graphical representation of a decision, incorporating all clinically important choices, uncertain events (and their probabilities), and outcomes of the decision. In the diagram, a square decision node represents the need for a decision to be made. The various possible decisions are then shown by lines that extend to a round chance node that, in turn, branches into the various possible clinical outcomes.
A (typically) binary tree where each non-leaf vertex is labeled by a query, each edge is labeled by a possible answer to the query, and each leaf is labeled by an output (typically yes or no). A decision tree represents a function in the obvious way.
graph ical representation of the decision process. Sequential decision s are drawn in the form of the branches of a tree, stemming from an initial decision point and extending all the way to the final outcome s. Each path through the branches of the tree represents a separate series of decisions and probabilistic event [D02609] PMDT graph ical representation of a decision making methodology that compares the values/ cost s of different scenario s in terms of expected value base d on probability. The values arrived at are for comparative purpose s only.. [D02608] RMW
A method of analysis that evaluates alternative decisions in a tree-like structure to estimate values and/or probabilities. Decision trees take into account the time value of future earnings by using a rollback concept. Calculations are started at the far right-hand side, then traced back through the branches to identify the appropriate decision.
A method of representing knowledge which structures he elements of a decision into a tree-like fashion. Chance nodes in a decision tree represent alternative possibilities, and decision nodes represent alternative choices. The leaf nodes of the tree represent outcomes, which may be assigned a numerical utility. See also: Utility.
The mental/emotional timeline prior to brand purchase where the customer asks questions that encompass his wants and needs.
A graphical representation of the probable outcomes following the various decision options in a decision analysis.
A predictive model based on a branching series of tests. Each test examines the value of a single column in the data and uses it to determine the next test to apply. The results of all tests determine which label to predict.
Method of representing alternative sequential decisions and the possible outcomes from these decisions.
A diagram of a set of possible actions, with their probabilities and the values of the outcomes listed. It is used to analyze a decision process.
Is a listing of all the possible outcomes of an expression. Typically decision trees are for boolean expressions.
A method of representing knowledge that structures decisions in a hierarchical, tree-like fashion.
A tree-shaped structure that represents a set of decisions. These decisions generate rules for the classification of a dataset. See CART and CHAID.
A tree-like way of representing a collection of hierarchical rules that lead to a class or value.
