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At least 1,639 records · Page 91Linked to original sources
PubMed2003

Reliability and validity of an interactive computer method for rating quality of life.

OBJECTIVE: The purpose of this study was to describe the reliability and validity of an interactive computer method that assesses the quality of life of patients in chronic pain and healthy individuals. METHODS: A software program to assess 21 aspects of quality of life was administered to 88 pain patients on two occasions separated by an average of 30 days. Comparison data were obtained from 105 healthy individuals retested after an average of 16 days. RESULTS: For both groups, moderate test-retest correlations occurred for mean ratings based on an aggregation of data for all variables, single global ratings, and single ratings of individual variables. Patients in chronic pain scored significantly lower on all quality of life variables than did healthy individuals. High correlations were obtained between mean ratings from the present study and those from an earlier investigation using the same method. CONCLUSIONS: The interactive computer method is both reliable and valid as a means to assess quality of life for patients in chronic pain as well as for healthy individuals.

Adult↗
PubMedDate not supplied

Developing an outcomes management program in a public health department.

A local public health department planned and implemented a comprehensive outcomes management program over a 5-year period. Critical components included commitment of leadership and staff, collaborative decision-making related to clinical record software selection, extensive staff training and support in documentation and automation, and ongoing evaluation. This successful program now provides reliable and valid quantitative outcomes data for the department.

Computer Literacy↗
PubMed2004

Predicting subcellular localization of proteins in a hybridization space.

MOTIVATION: The localization of a protein in a cell is closely correlated with its biological function. With the number of sequences entering into databanks rapidly increasing, the importance of developing a powerful high-throughput tool to determine protein subcellular location has become self-evident. In view of this, the Nearest Neighbour Algorithm was developed for predicting the protein subcellular location using the strategy of hybridizing the information derived from the recent development in gene ontology with that from the functional domain composition as well as the pseudo amino acid composition. RESULTS: As a showcase, the same plant and non-plant protein datasets as investigated by the previous investigators were used for demonstration. The overall success rate of the jackknife test for the plant protein dataset was 86%, and that for the non-plant protein dataset 91.2%. These are the highest success rates achieved so far for the two datasets by following a rigorous cross-validation test procedure, suggesting that such a hybrid approach (particularly by incorporating the knowledge of gene ontology) may become a very useful high-throughput tool in the area of bioinformatics, proteomics, as well as molecular cell biology. AVAILABILITY: The software would be made available on sending a request to the authors.

Algorithms↗
PubMed2001

Validation of STR typing by capillary electrophoresis.

With the use of capillary electrophoresis (CE), high-resolution electrophoretic separation of short tandem repeat (STR) loci can be achieved in a semiautomated fashion. Laser-induced detection of fluorescently labeled PCR products and multicolor analysis enable the rapid generation of multilocus DNA profiles. In this study, conditions for typing PCR-amplified STR loci by capillary electrophoresis were investigated using the ABI Prism 310 Genetic Analyzer (Applied Biosystems). An internal size standard was used with each run to effectively normalize mobility differences among injections. Alleles were designated by comparison to allelic ladders that were run with each sample set. Multiple runs of allelic ladders and of amplified samples demonstrate that allele sizes were reproducible, with standard deviations typically less than 0.12 bases for fragments up to 317 bases in length (largest allele analyzed) separated in a 47 cm capillary. Therefore, 99.7% of all alleles that are the same length should fall within the measurement error window of +/- 0.36 bases. Microvariants of the tetranucleotide repeats were also accurately typed by the analytical software. Alleles differing in size by one base could be resolved in two-donor DNA mixtures in which the minor component comprised > or = 5% of the total DNA. Furthermore, the quantitative data format (i.e., peak amplitude) can in some instances assist in determining individual STR profiles in mixed samples. DNA samples from previously typed cases (typed for RFLP, AmpliType PM+DQA1, and/or D1S80) were amplified using AmpFlSTR Profiler Plus and COfiler and were evaluated using the ABI Prism 310. Most samples yielded typable results. Compared with previously determined results for other loci, there were no discrepancies as to the inclusion or exclusion of suspects or victims. CE thus provides efficient separation, resolution, sensitivity and precision, and the analytical software provides reliable genotyping of STR loci. The analytical conditions described are suitable for typing samples such as reference and evidentiary samples from forensic casework.

DNA Fingerprinting↗
PubMedDate not supplied

[Effect of spongiosa density on load bearing of the lumbar spine.A finite element analysis].

OBJECTIVE: Different parts of the human spine have to accomplish different functions. But little is known about the exact distribution of forces within the spine and whether this is influenced by bone quality. The purpose of this study was to predict fields and extent of greatest load in compression in a human lumbar spine motion segment using a finite element model. METHODS: A three dimensional isotrophic finite element model was generated using the software ANSYS 5.4. Spinal loading was performed in axial compression (600 N). The model was validated by biomechanical analysis using 12 human spinal segments that were loaded with the same forces. Prediction was done with different E-modulus for cancellous bone, representing a wide range of bone quality between osteoporotic and strong bone quality. RESULTS: Load-sharing was influenced by bone quality: the weaker bone quality is, the higher is the extent of load that is passed through the posterior part of the spine. CONCLUSION: This finite element model predicts that load-sharing in a lumbar spine segment with decreased bone mineral density is different from that in healthy segments. A decrease of bone mineral density is resulting in an increase of load that is passed through the posterior part of the lumbar spine. Keeping in mind the simplifications of this model, the results may influence surgical treatment of patients suffering from osteoporosis or osteolytic destructions of the lumbar spine.

Adult↗
PubMed2007

Experimental validation of noninvasive referencing in navigated procedures on long bones.

Navigation procedures in orthopedic surgery require fixation of reference markers to the anatomic region of interest. Inadequate fixation might lead to micromotion or loosening of the reference marker, consequently causing registration failures or errors in navigation. Osseous rigid fixation is usually achieved by minimally invasive Schanz screws or pins. The goal of this study was to evaluate a non invasive external fixation device, a headband so far used in cranial navigation, as an alternative invasive fixation technique to reference markers in the femur. A common navigation system with an adapted trauma software application was used to track the positions of the soft tissue-attached headband relative to an invasive reference marker on the femur during manipulations of the thigh. Relative translative and rotational movements of the headband were measured during defined movements of the hip and knee and manipulations of the headband itself. The results revealed high translative and rotational movements, up to 6 mm and 3 degrees , respectively, due to minor manipulations of the affected lower extremity. Noninvasive soft tissue fixation with a headband does not allow rigid fixation for accurate navigated registration or operative procedures at the femur. Necessary intraoperative movements or manipulations would cause substantial registration failures. Invasive fixation techniques with screws or pins are still the method of choice.

Bone Screws↗
PubMed2006

Assessment of 18F PET signals for automatic target volume definition in radiotherapy treatment planning.

INTRODUCTION: Positron emission tomography (PET) alone or in combination with computer tomography (PET/CT) is increasingly used in target volume assessment. A standardized way of converting PET signals into target volumes is not available at present. MATERIALS AND METHODS: Assuming a uniform signal emission from a tumour and surrounding normal tissues, a model-based method was developed to determine a relative threshold level (Th(rel)) for gross tumour volume delineation. Two phantoms consisting of cylindrical and spherical sources of diameter ranging from 4.5 to 43 mm in a tank and (18)F activities ranging from 0.001 to 0.15 MBq/ml for tank and sources, respectively, were used for PET/CT imaging. A Th(rel) was calculated that best corresponded to the physical diameter of the cylindrical sources. Software (SW) was generated to automatically delineate volumes based on this threshold. The SW was validated for in vitro and in vivo PET signals. RESULTS: The Th(rel) best representing the source diameter was 41+/-2.5% (95% confidence level) of the background-subtracted signal. The mean deviation for sources of diameter > or =12.5 mm was < or =1.5 mm. The Th(rel) was constant for diameters > or =12.5 mm. For source diameters <12.5 mm, the 41% level over-estimated the real source diameter by a factor depending on the diameter. In an in vitro set-up the SW was capable of segmenting solitary PET volumes to within 1.4 mm (1SD). For non-homogeneous signals in a clinical set-up minimal manual intervention is presently required to separate target from non-target signals. The SW may slightly underestimate target volumes when compared with CT-based volumes, but works well as a first approximation. The volume can be manually adapted to give the ultimate target volume. CONCLUSIONS: SW-based automatic delineation of the volume of (18)F activity is feasible and highly reproducible. Volumes can be subsequently modified by the clinician if necessary. This approach will increase the efficiency of the planning process.

Automation↗
PubMed2002

Validation of a remote monitoring system for the elderly: application to mobility measurements.

The aim of this paper is to introduce a smart tool for the assessment of the mobility of patient with motor disorders and to evaluate its performance through some initial experiments. These experiments are based on a system which is composed of sensors connected to a Personal Computer (PC) using data acquisition cards and a communication network. The PC includes a data acquisition and processing software. This system has been installed in a patient's housing (a bedroom and a washroom) in a long-stay setting. Pre-established travel and activity (going to bed, getting up, visiting the washroom em leader ) patterns of patient in the housing including their duration have been defined by physicians for the experiments. A volunteer participated in the experiments and the results of his mobility obtained by the data processing software were compared with his real mobility. An agreement was found between the proposed assessment system and the experiments, thereby validating functioning of the whole system. Then, the system has been used to monitor a patient over a period of 39 nights. Again there is a good agreement between the characteristics derived from the system and the findings of the caring staff in charge of the patient's routine night monitoring. Data collected during 24 consecutive hours have been used to identify and characterise the patient's whole day mobility. This study paves the way for a new assessment system of the mobility of patient thus allowing the follow up of patients suffering from dementia and to study their significant mobility changes over time by introducing an indicator of mobility which can be used to assess their motor behavioural disorders.

Aged↗
PubMed2002

A review of ordinal regression models applied on health-related quality of life assessments.

There has been increasing emphasis in medical research on the design and analysis of quality of life scales. Many quality of life scales are ordinal and statistical methods such as ordinal regression models have been reviewed on a number of occasions. However, when such models are applied, the way the data have been generated is often overlooked. In this paper we illustrate the use of ordinal regression models, in particular the proportional odds model, the partial proportional odds model and the stereotype model in the MRC Cognitive Function and Ageing Study (MRC CFAS). The partial proportional odds and the stereotype models are often under-utilized, perhaps due to the lack of available software. However, in this paper, analysis based on these models has been carried out using the popular statistical software package SAS and macros devised in SAS. Furthermore, bootstrapping techniques have been applied to obtain valid estimates of the standard errors of the parameters in the stereotype model. Strikingly different results were obtained using the different ordinal regression models. We conclude that the way the data have been generated is particularly important for the analysis of quality of life assessments. Different methods of generating scores yield data with different properties. It is now possible to fit a variety of ordinal regression models and so select the appropriate one that correctly models the data.

Data Interpretation, Statistical↗
PubMed2000

A system to reproduce human breathing patterns: its development and validation.

Studies of aerosol deposition in models of the human respiratory tract play a significant role in developing our understanding of drug delivery by inhalation and particle retention in the lungs during exposure to polluted environments. To use replica casts of human airways and compare the results with in vivo data, a device is required to simulate human breathing. The objective of this study was to simulate human breathing for nasal casts. Breathing through the nose is normally limited to about 50 L/min. Therefore, a system was built to simulate human breathing patterns as well as artificial ones up to this flow rate. The system consists of a reciprocating piston in a cylinder, which is displaced by a synchronous motor via a linear actuator. The desired signal to drive the motor is given in real time by purpose-written software. The rotation and position of the motor are controlled by an electronic position control unit. The validation of the system shows that it simulates breathing up to 50 L/min closely even for complex waveforms. At breathing rates above 50 L/min, a slight difference is apparent between the desired breathing pattern and the simulated one. The breathing simulator has been shown to be a reliable tool for reproducing a wide variety of breathing patterns.

Aerosols↗
PubMed2004

The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.

MOTIVATION: Microarray technology has become a powerful research tool in many fields of study; however, the cost of microarrays often results in the use of a low number of replicates (k). Under circumstances where k is low, it becomes difficult to perform standard statistical tests to extract the most biologically significant experimental results. Other more advanced statistical tests have been developed; however, their use and interpretation often remain difficult to implement in routine biological research. The present work outlines a method that achieves sufficient statistical power for selecting differentially expressed genes under conditions of low k, while remaining as an intuitive and computationally efficient procedure. RESULTS: The present study describes a Global Error Assessment (GEA) methodology to select differentially expressed genes in microarray datasets, and was developed using an in vitro experiment that compared control and interferon-gamma treated skin cells. In this experiment, up to nine replicates were used to confidently estimate error, thereby enabling methods of different statistical power to be compared. Gene expression results of a similar absolute expression are binned, so as to enable a highly accurate local estimate of the mean squared error within conditions. The model then relates variability of gene expression in each bin to absolute expression levels and uses this in a test derived from the classical ANOVA. The GEA selection method is compared with both the classical and permutational ANOVA tests, and demonstrates an increased stability, robustness and confidence in gene selection. A subset of the selected genes were validated by real-time reverse transcription-polymerase chain reaction (RT-PCR). All these results suggest that GEA methodology is (i) suitable for selection of differentially expressed genes in microarray data, (ii) intuitive and computationally efficient and (iii) especially advantageous under conditions of low k. AVAILABILITY: The GEA code for R software is freely available upon request to authors.

Algorithms↗
PubMed2002

Computational physics: a perspective.

Computing comprises three distinct strands: hardware, software and the ways they are used in real or imagined worlds. Its use in research is more than writing or running code. Having something significant to compute and deploying judgement in what is attempted and achieved are especially challenging. In science or engineering, one must define a central problem in computable form, run such software as is appropriate and, last but by no means least, convince others that the results are both valid and useful. These several strands are highly interdependent. A major scientific development can transform disparate aspects of information and computer technologies. Computers affect the way we do science, as well as changing our personal worlds. Access to information is being transformed, with consequences beyond research or even science. Creativity in research is usually considered uniquely human, with inspiration a central factor. Scientific and technological needs are major forces in innovation, and these include hardware and software opportunities. One can try to define the scientific needs for established technologies (atomic energy, the early semiconductor industry), for rapidly developing technologies (advanced materials, microelectronics) and for emerging technologies (nanotechnology, novel information technologies). Did these needs define new computing, or was science diverted into applications of then-available codes? Regarding credibility, why is it that engineers accept computer realizations when designing engineered structures, whereas predictive modelling of materials has yet to achieve industrial confidence outside very special cases? The tensions between computing and traditional science are complex, unpredictable and potentially powerful.

Computer Simulation↗
PubMed2004

Review of ozone and temperature lidar validations performed within the framework of the Network for the Detection of Stratospheric Change.

The use of assimilation tools for satellite validation requires true estimates of the accuracy of the reference data. Since its inception, the Network for Detection of Stratospheric Change (NDSC) has provided systematic lidar measurements of ozone and temperature at several places around the world that are well adapted for satellite validations. Regular exercises have been organised to ensure the data quality at each individual site. These exercises can be separated into three categories: large scale intercomparisons using multiple instruments, including a mobile lidar; using satellite observations as a geographic transfer standards to compare measurements at different sites; and comparative investigations of the analysis software. NDSC is a research network, so each system has its own history, design, and analysis, and has participated differently in validation campaigns. There are still some technological differences that may explain different accuracies. However, the comparison campaigns performed over the last decade have always proved to be very helpful in improving the measurements. To date, more efforts have been devoted to characterising ozone measurements than to temperature observations. The synthesis of the published works shows that the network can potentially be considered as homogeneous within +/-2% between 20-35 km for ozone and +/-1 K between 35-60 km for temperature. Outside this altitude range, larger biases are reported and more efforts are required. In the lower stratosphere, Raman channels seem to improve comparisons but such capabilities were not systematically compared. At the top of the profiles, more investigations on analysis methodologies are still probably needed. SAGE II and GOMOS appear to be excellent tools for future ozone lidar validations but need to be better coordinated and take more advantage of assimilation tools. Also, temperature validations face major difficulties caused by atmospheric tides and therefore require intercomparisons with the mobile systems, at all sites.

Air Pollutants↗
PubMed2004

Rough set rule induction for suitability assessment.

The data that characterize an environmental system are a fundamental part of an environmental decision-support system. However, obtaining complete and consistent data sets for regional studies can be difficult. Data sets are often available only for small study areas within the region, whereas the data themselves contain uncertainty because of system complexity, differences in methodology, or data collection errors. This paper presents rough-set rule induction as one way to deal with data uncertainty while creating predictive if-then rules that generalize data values to the entire region. The approach is illustrated by determining the crop suitability of 14 crops for the agricultural soils of the Willamette River Basin, Oregon, USA. To implement this method, environmental and crop yield data were spatially related to individual soil units, forming the examples needed for the rule induction process. Next, four learning algorithms were defined by using different subsets of environmental attributes. ROSETTA, a software system for rough set analysis, was then used to generate rules using each algorithm. Cross-validation analysis showed that all crops had at least one algorithm with an accuracy rate greater than 68%. After selecting a preferred algorithm, the induced classifier was used to predict the crop suitability of each crop for the unclassified soils. The results suggest that rough set rule induction is a useful method for data generalization and suitability analysis.

Algorithms↗
PubMed1992

The SmithKline Beecham 'quality of life' scale: a validation and reliability study in patients with affective disorder.

The rationale for the development of Repertory-Grid based quality of life assessment (QOL) is described. The emergent scale, the SmithKline Beecham Quality of Life Scale (SBQOL) utilizes 23 predetermined constructs and three fixed elements: self now, ideal self and sick self. Inclusion of the latter two elements provides a personal frame of reference for the individual and recognizes the highly idiosyncratic and subjective nature of the experience which constitutes quality of life. A study of the validity and reliability of the SBQOL was conducted in 129 patients presenting to their GP with either major depression or generalized anxiety disorder, as defined by DSM III R. Patients were treated at the discretion of their GP and followed over a period of 12 weeks with assessments of treatment efficacy being performed at 6 weeks and 12 weeks in parallel with administration of the SBQOL. The results from co-administration of standard efficacy measures such as the Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Scale (HAMA) with the SBQOL, provided good evidence of construct validity. Evidence in support of the concurrent validity of the SBQOL was provided by co-administration of the Sickness Impact Profile and General Health Questionnaire (external criteria) with the SBQOL scale. Test-retest reliability and internal consistency were high. No obvious advantage was conferred by the use of principal components analysis from the Flexigrid software package in contrast to a simple arithmetical procedure for computing interelement distances. It is concluded that the SBQOL provides a valid, reliable and practicable approach to the assessment of quality of life in patients with affective disorder.

Adolescent↗
PubMed2004

DNA microarray normalization methods can remove bias from differential protein expression analysis of 2D difference gel electrophoresis results.

MOTIVATION: Two-dimensional Difference Gel Electrophoresis (DIGE) measures expression differences for thousands of proteins in parallel. In contrast to DNA microarray analysis, however, there have been few systematic studies on the validity of differential protein expression analysis, and the effects of normalization methods have not yet been investigated. To address this need, we assessed a series of same-same comparisons, evaluating how random experimental variance influenced differential expression analysis. RESULTS: The strong fluctuations observed were reflected in large discrepancies between the distributions of the spot intensities for different gels. Correct normalization for pooling of multiple gels for analysis is, therefore, essential. We show that both dye-specific background levels and the differences in scale of the spot intensity distributions must be accounted for. A variance stabilizing transform that had been developed for DNA microarray analysis combined with a robust Z-score allowed the determination of gel-independent signal thresholds based on the empirical distributions from same-same comparisons. In contrast, similar thresholds holding up to cross-validation could not be proposed for data normalized using methods established in the field of proteomics. AVAILABILITY: Software is available on request from the authors. SUPPLEMENTARY INFORMATION: There is supplementary material available online at http://www.flychip.org.uk/kreil/pub/2dgels/

Algorithms↗
PubMed2004

Ray-tracing techniques to assess the electromagnetic field radiated by radio base stations: application and experimental validation in an urban environment.

This paper aims to validate a ray-tracing model for electromagnetic field calculation, which is used in urban environments to predict irradiation from radio base stations for population exposure evaluation. Validation was carried out through a measurement campaign by choosing measurement points in order to test different propagation environments and analysing broadcast control channels through narrow band measurements. Comparison of the calculated and measured fields indicates that the ray-tracing model used calculates electric field with good accuracy, in spite of the fact that the propagation environment is not described in detail, because of difficulties in modelling the geometrical and electrical characteristics of urban areas. Differences between the calculated and measured results remain below 1.5 dB, with a mean value of 1 dB.

Algorithms↗
PubMed1990

KADIS--a computer-aided decision support system for improving the management of type-I diabetes.

Despite the introduction of new therapeutic aids such as insulin pumps and injectors, blood glucose test tapes, particular insulin formulations, and the physiological basis-bolus principle of insulin dosage regimes, the metabolic care of most insulin-dependent patients is still insufficient. One potential tool of further improving the results in diabetes treatment consists in the application of computer-aided procedures to estimate individually optimal regimes. Employing a validated mathematical model of the glucose/insulin metabolic control system and individual sets of data from patients' self-monitoring, a software package was developed on a micro-computer which allowed both the retrospective analysis of data resulting from the therapeutic process, and the prospective simulation of the outcome of alterations in the regime in terms of glycaemia and insulinaemia. The two parts of the programme provide either for the patient or for the physician an interactive mode of working with the computer. The system is now being validated by means of a long-term follow-up study in type-I diabetic patients. It may be used mainly in diabetic outpatient centers and as a tool of educating, training, and motivating patients.

Computer Simulation↗