Results 1 - 10 of 13856
Results 1 - 10 of 13856. Search took: 0.045 seconds
|Sort by: date | relevance|
[en] Highlights: • A relative decision threshold is proposed as an alternative to the decision threshold. • The relative decision threshold is strictly related to the basic definition of the decision threshold. • The relative decision threshold can be estimated using only the value of the net signal. • The relative uncertainty of the net signal should be compared with the relative decision threshold. • Such test is especially applicable for the results reported by software programs. - Abstract: This work proposes a simple way to assess whether a physical effect due to the sample is present, via the relative uncertainty of the measured net signal. A possibility for evaluation of the respective relative limit for any particular (already measured) positive net signal is shown. This relative limit (‘relative decision threshold’) is strictly related to the basic definition of the decision threshold. The full agreement between the conclusions via the decision threshold and via the relative decision threshold, is experimentally demonstrated.
[en] Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.
[en] Every day a large amount of data is produced within a radiotherapy department. Although this data is available in one form or other within the centralised systems, it is often not in the form which is of interest to the departmental staff. This work presents a flexible browser based reporting and visualization system for clinical and scientific use, not currently found in commercially available software such as MOSAIQ"T"M or ARIA"T"M. Moreover, the majority of user merely wish to retrieve data and not record and/or modify data. Thus the idea was conceived, to present the user with all relevant information in a simple and effective manner in the form of web-services. Due to the widespread availability of the internet, most people can master the use of a web-browser. Ultimately the aim is to optimize clinical procedures, enhance transparency and improve revenue. Our working group (BAS) examined many internal procedures, to find out whether relevant information suitable for our purposes lay therein. After the results were collated, it was necessary to select an effective software platform. After a more detailed analysis of all data, it became clear that the implementation of web-services was appropriate. In our institute several such web-based information services had already been developed over the last few years, with which we gained invaluable experience. Moreover, we strived for high acceptance amongst staff members. By employing web-services, we attained high effectiveness, transparency and efficient information processing for the user. Furthermore, we achieved an almost maintenance-free and low support system. The aim of the project, making web-based information available to the user from the departmental system MOSAIQ, physician letter system MEDATEC"R and the central finding server MiraPlus (laboratory, pathology and radiology) were implemented without restrictions. Due to widespread use of web-based technology the training effort was effectively nil, since practically every member of staff can master the use of a web-browser. Moreover, we have achieved high acceptance amongst staff members and have improved our effectiveness resulting in a considerable time saving. The many MOSAIQ-specific parts of the system can be readily used by departments which use MOSAIQ as the departmental system
[en] After a preliminary survey and a description of some small Steiner systems from the standpoint of the theory of invariants of binary forms, we construct a binary Golay code (of length 24) using ideas from J. Grassmann's thesis of 1875. One of our tools is a pair of disjoint Fano planes. Another application of such pairs and properties of plane quartics is a construction of a new block design on 28 objects. This block design is a part of a dissection of the set of 288 Aronhold sevens. The dissection distributes the Aronhold sevens into 8 disjoint block designs of this type
[en] The current paper describe how a magnetohydrodynamic problem has been implemented using FLUENT MHD module. The computation is necessary for further calculation for electromagnetic pumps. All the results has been verified by compare obtain data with data obtain by other persons. The first evaluation consist on comparing the resulting flow path and current density position with the theoretical position. (authors)
[en] Brachytherapy devices and software are designed to last for a certain period of time. Due to a number of considerations, such as material factors, wear-and-tear, backwards compatibility, and others, they all reach a date when they are no longer supported by the manufacturer. Most of these products have a limited duration for their use, and the information is provided to the user at time of purchase. Because of issues or concerns determined by the manufacturer, certain products are retired sooner than the anticipated date, and the user is immediately notified. In these situations, the institution is facing some difficult choices: remove these products from the clinic or perform tests and continue their usage. Both of these choices come with a financial burden: replacing the product or assuming a potential medicolegal liability. This session will provide attendees with the knowledge and tools to make better decisions when facing these issues. Learning Objectives: Understand the meaning of “end-of-life or “life expectancy” for brachytherapy devices and software Review items (devices and software) affected by “end-of-life” restrictions Learn how to effectively formulate “end-of-life” policies at your institution Learn about possible implications of “end-of-life” policy Review other possible approaches to “end-of-life” issue
[en] We review the methods of constructing confidence intervals that account for a priori information about one-sided constraints on the parameter being estimated. We show that the so-called method of sensitivity limit yields a correct solution of the problem. Derived are the solutions for the cases of a continuous distribution with non-negative estimated parameter and a discrete distribution, specifically a Poisson process with background. For both cases, the best upper limit is constructed that accounts for the a priori information. A table is provided with the confidence intervals for the parameter of Poisson distribution that correctly accounts for the information on the known value of the background along with the software for calculating the confidence intervals for any confidence levels and magnitudes of the background (the software is freely available for download via Internet).
[en] The purpose of this paper is to provide a brief introduction of Software Dependability and a summary of lessons learned. The components of Software Dependability vary among standards, however there is agreement among the standards that reliability, availability and maintainability are some the main components of dependability. Safety is also a main component is safety systems. Although reliability and safety are similar there is an additional difference, safety can withstand some level of fault tolerance. For the purposes of this discussion Software Dependability includes reliability, availability, maintainability and safety. Software Dependability: Trustworthiness of a computer system such that reliance can be justifiably placed on the service it delivers. Reliability, availability, and maintainability are aspects of dependability. Reliability: The ability of a system or component to perform its required functions under stated conditions for a specified period of time. Availability: The degree to which a system or component is operational and accessible when required for use. Often expressed as a probability. Maintainability: Speed and ease with which a program can be corrected or changed. Safety: a measure of the length of time the software system can be expected to run before failing in such a way as to cause a system hazard. (author)