DMN Functionality
Scoring Model: e.g. scorecard
Scoring: assigning a compounded value from various contributing factors
Clinical Interpretation of Observations (including scores): e.g. score to risk
decision table
Decision table normalization: Akin to database normalisation, structuring in order to reduce redundancy and to ensure independence of each input and rule
rank/sorting/MIN-MAX
equation or function
General Predictive Model / AI 'as a function': e.g. using BKM / decision services to mediate
Iterating: applying the same logic to a list of items
Categorizing: assigning a label (category) based on either various contributing factors or a range of a
continuous value
DMN Goals
State/Assessment: e.g. patient has/is/on X (Diagnosis)
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