We present the first evaluation results : of a knowledge management and decision support system for Type I diabetes patients' care. Such system, meant to help physicians in therapy revision, relies on the integration of Rule Based Reasoning and Case Based Reasoning, and exploits both explicit and implicit knowledge. Reliability was positively judged by a group of expert diabetologists; an increase in its performances is foreseen as new knowledge will be acquired, through the system usage in clinical practice
Abstract. In this paper, a case study is presented in which an early prototype of a decision-support...
AbstractThe field of reasoning methodologies is very important in the area of knowledge computing an...
The two main purposes of clinical decision-support systems (CDSSs) are to provide healthcare profess...
We present the first evaluation results : of a knowledge management and decision support system for ...
We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies o...
We present a knowledge management and decision support methodology for insulin dependent diabetes me...
We present a knowledge management and decision support methodology for insulin dependent diabetes me...
In the medical domain, different knowledge types are typically available. Operative knowledge, colle...
In the medical domain, different knowledge types are typically available. Operative knowledge, colle...
Knowledge management and retrieval are key issues to be addressed in the medical domain, where a lar...
We present a Web-based knowledge management and decision support system for Type I Diabetes patients...
The integration of rule-based and case-based reasoning is particularly useful in medical application...
National audienceArtificial intelligence must have access to objects, categories, properties and rel...
In this paper we describe the development, implementation and initial evaluation of a Clinical Decis...
We present a successful application of Artificial Intelligence (AI) methodologies in the context of ...
Abstract. In this paper, a case study is presented in which an early prototype of a decision-support...
AbstractThe field of reasoning methodologies is very important in the area of knowledge computing an...
The two main purposes of clinical decision-support systems (CDSSs) are to provide healthcare profess...
We present the first evaluation results : of a knowledge management and decision support system for ...
We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies o...
We present a knowledge management and decision support methodology for insulin dependent diabetes me...
We present a knowledge management and decision support methodology for insulin dependent diabetes me...
In the medical domain, different knowledge types are typically available. Operative knowledge, colle...
In the medical domain, different knowledge types are typically available. Operative knowledge, colle...
Knowledge management and retrieval are key issues to be addressed in the medical domain, where a lar...
We present a Web-based knowledge management and decision support system for Type I Diabetes patients...
The integration of rule-based and case-based reasoning is particularly useful in medical application...
National audienceArtificial intelligence must have access to objects, categories, properties and rel...
In this paper we describe the development, implementation and initial evaluation of a Clinical Decis...
We present a successful application of Artificial Intelligence (AI) methodologies in the context of ...
Abstract. In this paper, a case study is presented in which an early prototype of a decision-support...
AbstractThe field of reasoning methodologies is very important in the area of knowledge computing an...
The two main purposes of clinical decision-support systems (CDSSs) are to provide healthcare profess...