Physicians and medical decision-support applications, such as for diagnosis, therapy, monitoring, quality assessment, and clinical research, reason about patients in terms of abstract, clinically meaningful concepts, typically over significant time periods. Clinical databases, however, store only raw, time-stamped data. Thus, there is a need to bridge this gap. We introduce the Temporal Abstraction Language (TAR) which enables specification of abstract relations involving raw data and abstract concepts, and use it for defining typical medical abstraction patterns. For each pattern we further analyze finiteness properties of the answer set. The TAR language is implemented as the reasoning module in a practical diagnosis system.
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
Abstract — Physicians and medical decision-support applications, such as for diagnosis, therapy, mon...
Physicians and medical decision-support applications, such as for diagnosis, therapy, monitoring, qu...
Analyzing data for support of diagnostic tasks in dynamic domains, such as medicine, plant pathology...
Objective: Intelligent clinical data analysis systems require precise qualitative descriptions of da...
Objectives: Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical data ...
The inability of many clinical decision-support systems to integrate with legacy databases limits th...
We describe a general method for abstracting higher-level, interval-based concepts from time-stamped...
This paper presents emerging trends in the area of temporal abstraction and data mining, as applied ...
The effective and efficient use of information systems in health care organizations and services are...
Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
Abstract — Physicians and medical decision-support applications, such as for diagnosis, therapy, mon...
Physicians and medical decision-support applications, such as for diagnosis, therapy, monitoring, qu...
Analyzing data for support of diagnostic tasks in dynamic domains, such as medicine, plant pathology...
Objective: Intelligent clinical data analysis systems require precise qualitative descriptions of da...
Objectives: Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical data ...
The inability of many clinical decision-support systems to integrate with legacy databases limits th...
We describe a general method for abstracting higher-level, interval-based concepts from time-stamped...
This paper presents emerging trends in the area of temporal abstraction and data mining, as applied ...
The effective and efficient use of information systems in health care organizations and services are...
Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Objective. The main aim of this paper is to propose and discuss some promising research directions i...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...