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Results for “AUTOMATIC DATA PROCESSING”

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At least 37 records · Page 2Linked to original sources
PubMed2004

High-performance peptide identification by tandem mass spectrometry allows reliable automatic data processing in proteomics.

In a previous paper we introduced a novel model-based approach (OLAV) to the problem of identifying peptides via tandem mass spectrometry, for which early implementations showed promising performance. We recently further improved this performance to a remarkable level (1-2% false positive rate at 95% true positive rate) and characterized key properties of OLAV like robustness and training set size. We present these results in a synthetic and coherent way along with detailed performance comparisons, a new scoring component making use of peptide amino acidic composition, and new developments like automatic parameter learning. Finally, we discuss the impact of OLAV on the automation of proteomics projects.

Algorithms↗
PubMed1977

[Possibilities of the automatic data processing in differential diagnosis of arteriosclerotic cardiosclerosis and rheumatic heart disease complicated by auricular fibrillation].

The possibility of applying some mathematical methods for automating the process of differential diagnosis between atherosclerotic cardiosclerosis and rheumatic heart diseases complicated by auricular fibrillation, based on employing computing technique in processing the cardiointervalographic findings, is discussed. The processing of cardiointervalograms taken in 2 groups of patients with diseases in question (totaling 49 persons) aged over 45 evidenced that in the differential diagnosis mathematical expectation and dispersion of the R-R intervals duration are most informative signs. It is shown that for the purpose of automatic diagnosis of atherosclerotic cardiosclerosis and rheumatic heart diseases complicated by auricular fibrillation with the method under discussion the sufficient length of cardiointervalograms equals 130--150 R--R-intervals.

Atrial Fibrillation↗
PubMed1977

[Automatic data processing for organisational aid to blood donor centers in emergency hospitals].

A test model of a computer-off-line system at the Community Hospital Blood Bank in Herford collecting approximately 3.000 units of blood annually is described. The computer system presented, now in operation for more than one year, has proven its value for general blood bank administration by its time-saving effect and the optimalized documentation of donor- and blood-related data. The computer system described is particularly recommended for smaller, hospital-based blood transfusion services. Its introduction is even justified in institutions preparing less than 5.000 units of blood per year. Prerequisite for an economical operation of the computer system is the participation of the hospital management in other computer activities, i.e. book-keeping, accounting etc.

Blood Banks↗
PubMed1996

Improvement of tidal breathing pattern analysis in children with asthma by on-line automatic data processing.

The time taken to achieve peak tidal expiratory flow as a proportion of total expiratory time (t PTEF/t E) during tidal breathing (TB) is used as a parameter of airway obstruction in children with asthma. Curve selection bias is one of the most important limitations to the method. This study evaluates three curve selection methods, including a computer program, which on-line selects and analyses TB curves (Masterscreen Paediatric; Jaeger, Germany). TB analysis was performed in 26 children (aged 4-7 yrs) with asthma, before and after methacholine provocation and after subsequent bronchodilatation. Levels and stability of TB parameters derived from computer-selected, unselected and unbiased eye-selected curves were compared. t PTEF/t E ratios of the computer-selected curves agreed well with the unbiased eye-selected curves (limits of agreement -4.8 and +5.8%), but were significantly different from the ratios of unselected curves. Computer-derived t PTEF/t E ratios had the highest level of stability: the reliability coefficient of baseline measurements was 0.96 for computer selection, 0.84 for eye selection and 0.87 for no selection (reliability index = 1 at maximal stability). Tidal volume, respiratory rate, inspiratory and expiratory time were also assessed accurately by the computer program. The mean t PTEF/t E ratio (computer selection) dropped after methacholine provocation (from 30 +/- 9 to 22 +/- 9% at provocative dose at which forced expiratory volume in one second had dropped > or = 20% from baseline (FEV1-PD20 level), p < 0.001) and was restored after bronchodilation (30 +/- 6%; p < 0.001). We conclude that on-line computer analysis is preferable to no selection and to by-eye selection. The use of the program avoids curve selection bias and enhances the applicability of tidal breathing analysis as a measure of airflow obstruction in young children.

Asthma↗