Frank Thiesing

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Eleftherios Papachristos

University of Patras

Joaquim Llisterri

Universitat Autònoma de Barcelona

David Seamon

Kansas State University

Wan Adilah Wan Adnan, PhD

Universiti Teknologi Mara

Andreas Riener

Johannes Kepler University Linz

Solomon Adepoju

FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA-NIGERIA

Viacheslav Kuleshov

Stockholm University

Waldemar Ferreira Netto

Universidade de São Paulo

Richard A. Wright

University of Washington

Richard Gauthier

Santa Rosa Junior College

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Papers by Frank Thiesing

Das parimod-System: (Parallele Computergraphik und Animation mit Transputern)

Informatik aktuell, 1994

Improving health IT monitoring via an electronic system for the exchange between science and practice

GMS Medizinische Informatik, Biometrie und Epidemiologie, Jul 12, 2021

Health information technology (IT) is a decisive factor for hospitals in optimizing the provision... more Health information technology (IT) is a decisive factor for hospitals in optimizing the provision of healthcare services and many countries are interested in understanding, monitoring, and benchmarking the mechanisms of digital transformation on the national level. Part of this effort is the use of science-based maturity models to measure the level of digitization of healthcare institutions. The results of the maturity measurement are finally disseminated through science-practice dialogue concepts. The aim of this study is to develop and evaluate a technical platform to support this science-practice dialogue in the context of nationwide health IT monitoring in hospitals. Here users, the Chief Information Officer (CIO) in hospitals, provide data on the status of health IT in their institutions through a structured self-assessment on the platform. The data is analyzed and processed with scientific instruments, i.e. (1) according to scientifically established procedures of quantitative...

Lernendes Gesundheitssystem: Wie der systematische Dialog zwischen Praxis und Wissenschaft gelingen kann

Einleitung: Das Lernende Gesundheitssystem ist ein konzeptioneller Ansatz, Wissenschaft und Praxi... more Einleitung: Das Lernende Gesundheitssystem ist ein konzeptioneller Ansatz, Wissenschaft und Praxis in einen unmittelbaren Austausch zu bringen, um Daten aus der Praxis wissenschaftlich auszuwerten, zu interpretieren und die entsprechenden Ergebnisse möglichst schnell der medizinisch-pflegerischen[zum vollständigen Text gelangen Sie über die oben angegebene URL]

Propagation for the Prediction of Time Series

Arti cial neural networks are suitable for the prediction of chaotic time series A modi ed back p... more Arti cial neural networks are suitable for the prediction of chaotic time series A modi ed back propagation algorithm with neuron splitting is used to train feed forward multilayer perceptron networks for prediction There are two ways of parallelizing distributing the training set for batch learning or distribute the vector matrix operations for on line training Three imple mentation are compaired PVM on a workstation cluster and Parix and the new PVM Parix on a Transputer system Results about the quality of forecasting an examplary time series and speedups of the parallel programs are presented Introduction Arti cial neural networks ANN are suitable for the prediction of chaotic time series They can approximate any function after an amount of training Especially for prediction ANNs are an alternative to the classical methods Today ANNs are already applied to the calculation of the demand for electrical power and to the forecasting of economic data ANNs learn to approximate a functi...

Frank Thiesing

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