Our system integrates case-based reasoning techniques to form a knowledge base from previously issued queries that can be exploited to improve future query processing and to build organizational memory through experience capture.
The application consists of a data entry form, a knowledge base, an inference engine, and a patient database.
The work associated with developing and implementing IALS and ALL formed a knowledge base that contributed to the development and implementation of PIAAC in several important ways.
In the end, however, it is up to experts to judge the similarity and closeness of retrieved images and subsequently form a knowledge base for the palynology community.
This ontology contains a concise logical formalization of clinical pharmacogenomic definitions and rules, forming a knowledge base that can be used as a common platform for different pharmacogenomic assays and decisions support systems.
For sustainable knowledge management and more intelligent decision support it is beneficial to collect, consolidate, store and share these experiences in a form of a knowledge base or domain ontology.
A promising approach to overcoming these difficulties is to develop techniques for encoding knowledge in a reusable form so that large portions of a knowledge base for a given application can be assembled from knowledge repositories and other systems.
In this way, a knowledge base is formed, that allows to recommend the required information to the next user without using search engine, but through the base of recommendations.
Of course, a student still needs a knowledge base.
Such a knowledge base could provide a form of clinical decision support to ensure that related diagnoses are not missed, or even to support the entry into the PSL of related problems that a clinician may not have thought to enter into the EHR.
