Titlebook: Knowledge Representation for Health-Care. Data, Processes and Guidelines; AIME 2009 Workshop K David Riaño,Annette Teije,Mor Peleg Conferen

含糊其辞

Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancded. In this paper we first define two notions of a disease-centric subdomain of a large ontology. We then explore two methods for identifying disease-centric subdomains of such large medical vocabularies. The first method is based on lexically querying the ontology with an iteratively extended set

BARB

针叶

Analysis of the GLARE and GPROVE Approaches to Clinical Guidelines in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of GL. Each approach has its own peculiarities and thus a comparison is necessary. Many possible aspects can be analyzed, but a first analysis has probably to consider

Defraud

Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S representation, analysis and execution of workflows in the Clinical Pathways. We present a semantic web-based approach where the domain knowledge and the workflow model are modeled separately as ontologies, while the Clinical Pathway and the associated workflows are modeled as the instantiations of

Crater

forecast

Experiences in the Development of Electronic Care Plans for the Management of Comorbiditiesexists about the importance of tailoring these care plans to patients, by integrating comorbidities. In this context, the development, implementation, outcome analysis, and reengineering of care plans adapted to particular patient groups earn relevance. We are concerned with the development and reen

squander

独特性

Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Recordssent and execute guideline recommendations, but also on the design of interactions of the system with the end-user interface and the electronic patient record. This paper describes technical solutions adopted to add decision support functionalities to two existing information systems for stroke pati

Relinquish

Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generror or inaccuracy in data. Uncertainty also compromises reasoning where relationships between events need to be inferred. This paper discusses an approach to dealing with uncertainty in temporal and causal relations using Possibility Theory, focusing on a family of medical decision support systems