Wyniki wyszukiwania - Biblioteka Nauki

1

Integration platform as central service of data replication in distributed medical system

100%

Wajs W. , Rączka K. , Stoch P. , Kruczek P.

Computer Science

|

2007

|

tom Vol. 8, Spec. Ed

135-142

EN

The paper presents the application of Java Integration Platform (JIP) to data replication in the distributed medical system. After an introductory part on the medical system's architecture, the focus shifts to a comparison of different approaches that exist with regard to transferring data between the system's components. A description is given of the historical data processing and of the whole area of the JIP application to the medical system.

PL

Artykuł prezentuje wykorzystanie platformy integracyjnej JIP (Java Integration Platform) do realizacji replikacji danych w sieciowym systemie medycznym. Przedstawiono architekturę systemu medycznego, a następnie porównano różne podejścia do przesyłania danych pomiędzy komponentami systemu. Omówiono również przetwarzanie danych historycznych oraz pełny obszar wykorzystania platformy JIP w systemie medycznym.

2

Rough Set Approach to Behavioral Pattern Identification

88%

Bazan J. G. , Bazan-Socha S. , Pietrzyk J. J. , Kruczek P. , Skowron A.

Fundamenta Informaticae

|

2007

|

tom Vol. 75, nr 1-4

27-47

EN

The problem considered is how to model perception and identify behavioral patterns of objects changing over time in complex dynamical systems. An approach to solving this problem has been found in the context of rough set theory and methods. Rough set theory introduced by Zdzisaw Pawlak during the early 1980s provides the foundation for the construction of classifiers, relative to what are known as temporal pattern tables. Temporal patterns can be treated as features that make it possible to approximate complex concepts. This article introduces some rough set tools for perception modeling that are developed for a system for modeling networks of classifiers. Such networks make it possible to identify behavioral patterns of objects changing over time. They are constructed using an ontology of concepts delivered by experts that engage in approximate reasoning about concepts embedded in such an ontology. We also present a method that we call a method for on-line elimination of non-relevant parts (ENP). This method was developed for on-line elimination of complex object parts that are irrelevant for identifying a given behavioral pattern. The article includes results of experiments that have been performed on data from a vehicular traffic simulator and on medical data obtained from Neonatal Intensive Care Unit in the Department of Pediatrics, Collegium Medicum, Jagiellonian University. The contribution of this article is the introduction of a network of classifiers that make it possible to identify the behavioral patterns of objects that change over time.

3

Case-based Planning of Treatment of Infants with Respiratory Failure

75%

Góra G. , Bazan J. G. , Kruczek P. , Bazan-Socha S. , Skowron A. , Pietrzyk J. J.

Fundamenta Informaticae

|

2008

|

tom Vol. 85, nr 1-4

155-172

EN

We discuss medical treatment planning in the context of case-based planning, where plans (of treatment) are treated as complex decisions. A plan for a particular case is constructed from known plans for similar training examples. In order to evaluate and improve the prediction quality of complex decisions, we use a method for approximation of similarity measure between plans. The method makes it possible to transform the acquired domain knowledge about similarities of plans, expressed by medical experts in natural language, to a low level language understandable by the system. To accomplish this task, we developed a method for approximation of the ontology of concepts expressed by medical experts. We present two applications of the ontology approximation, namely, for approximation of similarity between patient histories and for approximation of compatibility of patient histories with planned therapies. Next, we use these concept approximations to define two measures on which are based two methods for (plan) therapy prediction. The article includes results of experiments with these methods performed on medical data obtained from Neonatal Intensive Care Unit, First Department of Pediatrics, Polish-American Institute of Pediatrics, Collegium Medicum, Jagiellonian University, Kraków, Poland. The experiments are pertained to the identification of infants' death risk caused by respiratory failure.