Zobrazeno 1 - 10
of 108
pro vyhledávání: '"U. Gather"'
Autor:
P.L. Davies, U. Gather
Publikováno v:
Revstat Statistical Journal, Vol 5, Iss 1 (2007)
The breakdown point plays an important though at times controversial role in statistics. In situations in which it has proved most successful there is a group of transformations which act on the sample space and which give rise to an equivariance str
Externí odkaz:
https://doaj.org/article/caa4f18514ed43529b8926e7a35922b7
Publikováno v:
Artificial Intelligence in Medicine. 19:225-249
Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from e
Publikováno v:
Metrika. 44:181-187
Publikováno v:
Computational Statistics & Data Analysis. 18:238-243
Autor:
Christian E. Wrede, U. Gather, M. Imhoff, Felix Rockmann, T. Bruennler, Sylvia Siebig, W. Sieben, F. Kollmann
Publikováno v:
Anaesthesia and intensive care. 37(1)
Monitoring of physiologic parameters in critically ill patients is associated with an enormous number of alarms, leading to reduced clinical value with high sensitivity but low specificity. To evaluate opinions of intensive care unit (ICU) staff on c
Autor:
U. Gather
Publikováno v:
28th International Conference on Information Technology Interfaces, 2006..
We discuss filtering procedures for robust extraction of a signal from noisy time series as they occur in monitoring of vital parameters in intensive care. An optimal monitoring of the haemodynamic system is important for any postoperative intensive
Publikováno v:
Studies in health technology and informatics. 77
Nowadays high dimensional data in intensive care medicine can be captured, stored, and retrieved with the help of clinical information systems. Intelligent alarm systems are needed for an adequate bedside decision support, in the course of which the
Publisher Summary This chapter discusses the general principle of outlier generating models. It describes four main types of outlier identification rules—namely, block procedures, inward testing methods, outward testing methods, and one-step identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74492ed23d3dd88fd3e239140c588fca
https://doi.org/10.1016/s0169-7161(97)15008-8
https://doi.org/10.1016/s0169-7161(97)15008-8
Publikováno v:
Statistics & Computing; Jun2006, Vol. 16 Issue 2, p177-192, 16p