SYSTEM AND METHOD FOR PERSISTENT EVIDENCE BASED MULTI-ONTOLOGY CONTEXT DEPENDENT ELIGIBILITY ASSESSMENT AND FEATURE SCORING

摘要

A system and method configured to provide persistent evidence based multi-ontology context dependent decision support, eligibility assessment and feature scoring. Decisions are achieved via a probabilistic functional extension of both potentiality and plausibility towards nouns in all data forms. Plausibility refers to the full set of values garnered by the evidence accumulation process while potentiality is a mechanism to set the various match threshold values. The thresholds define acceptable confidence levels for decision-making and wherein both plausibility and potentiality are implemented through statistical applications which model and estimate the distribution of random vectors by estimating margins and copula separately from all data types. Evidence is filtered by margins and copula on a persistent basis from the scoring of newly harvested content and refined results are computed on the basis of partial matching of feature vector elements for separate and distinct feature weightings associated with the given entity and each of the reference entities within the compressed copula.

主权项

1. A decision support system configured to provide single source and centralized decision making, the decision support system comprising:
one or more processors configured to execute computer program modules, the computer program modules comprising: a content harvesting module configured to receive persistent content; a plausibility scoring module configured to perform hypothesis validation and refutation functions and generate a plausibility scoring value; a potentiality scoring module configured to set confidence thresholds for decision making and generate a potentiality scoring value; and a decision determination module configured to adjudicate the potentiality scoring value and the plausibility scoring value as against threshold values and render a decision based thereon.