TY  - CHAP
A1  - Prescher, T.
T1  - Schulinspektionsbericht als Kompetenz-Portfolio: Vermittlungsfunktion in einem schulbezogenen Lernprozess.
T2  - ANUAR ŞTIINŢIFIC: MUZICĂ, TEATRU, ARTE PLASTICE. Chişinău: GRAFEMA LIBRIS. Ministerul Culturii al Republicii Moldova: Academia de Muzică, Teatru şi Arte Plastice
Y1  - 2012
VL  - 2012
IS  - 2 (15)
SP  - 84
EP  - 88
ER  - 
TY  - CHAP
A1  - Prescher, T.
T1  - Combination of formal and non-formal Learning as an Element of Development of Education Systems: Distance Learning Program “School Management” of the Technical University of Kaiserslautern in Eritrea
T2  - Materials of the international Forum “Current Trends in the Concepts and Strategies of Lifelong Learning”, St. Petersburg
Y1  - 2012
SP  - 107
EP  - 112
ER  - 
TY  - CHAP
A1  - Prescher, T.
T1  - NetBi: Projekt Experiences in Distance Learning for an International Higher Education.
T2  - ANUAR ŞTIINŢIFIC: MUZICĂ, TEATRU, ARTE PLASTICE. Chişinău: GRAFEMA LIBRIS. Ministerul Culturii al Republicii Moldova: Academia de Muzică, Teatru şi Arte Plastice
Y1  - 2012
VL  - 2012
IS  - 1 (14)
SP  - 174
EP  - 178
ER  - 
TY  - CHAP
A1  - Sellemann, Björn
A1  - Stausberg, Jürgen
A1  - Hübner, Ursula
T1  - Nursing Routine Data as a Basis for Association Analysis in the Domain of Nursing Knowledge
T2  - Proceedings of the 11thInternational Nursing Informatics Conference NI2012 Montreal
N2  - This paper describes the data mining method of association analysis within the framework of Knowledge Discovery in Databases (KDD) with the aim to identify standard patterns of nursing care. The approach is application-oriented and used on nursing routine data of the method LEP nursing 2. The increasing use of information technology in hospitals, especially of nursing information systems, requires the storage of large data sets, which hitherto have not always been analyzed adequately. Three association analyses for the days of admission, surgery and discharge, have been performed. The results of almost 1.5 million generated association rules indicate that it is valid to apply association analysis to nursing routine data. All rules are semantically trivial, since they reflect existing knowledge from the domain of nursing. This may be due either to the method LEP Nursing 2, or to the nursing activities themselves. Nonetheless, association analysis may in future become a useful analytical tool on the basis of structured nursing routine data.
Y1  - 2012
UR  - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799158/
SP  - 366
ER  -