Creating multiple reports using primary (form) files which merge with multiple secondary (data) files.
Explore the source record for details and available documents.
Correspondence as Topic↗
SEARCH · PubMed Health
Results for “Data Files”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
A large-scale processing of kinetic data files with derivation of the inhibitory constant Ki: an application to proline isomerases.
An integral system of algorithms (file preprocessor + the adapted KORE program + the Powell non-linear least-squares minimizer) named KINMIN is described. This system was applied to simultaneously process a large number of kinetic data files for cis/trans isomerization of Xaa-Pro bonds in synthetic peptides catalysed by peptidylproline cis/trans isomerases which can be inhibited by nanomolar concentrations of the immunosuppressive compounds cyclosplorin-A, FK506 or rapamycin. The system allows preprocessing of kinetics data files and derives from them the first-order rate constants which are used to optimize the inhibitory constant Ki of each inhibitor. The KINMIN program may be also applied to derive Ki for other sets of enzymes and their inhibitors.
Algorithms↗
[Detection of myocardial 123I-BMIPP distribution abnormality in patients with ischemic heart disease based on normal data file in bull's-eye polar map].
Visual interpretation of 123I-BMIPP (BMIPP) myocardial images has difficulties in detecting mild reduction in tracer uptake. We studied the significance of the objective assessment of myocardial BMIPP maldistributions at rest by using a Bull's-eye map and its normal data file for detecting ischemic heart disease. Twenty nine patients, 15 with prior myocardial infarction and 14 with effort angina were studied. The initial 15-min BMIPP image was evaluated by visual analysis and by generating the extent Bull's-eye map which exhibits regions with reduced % uptake under mean-2SD of 10 normal controls. The sensitivity for determining coronary lesions in non-infarcted myocardial regions with the extent map was superior to that with visual analysis (67% vs. 33%). In the regions supplied by the stenotic coronary artery, those which showed visually negative but positive in the map and which showed positive in both had higher incidence of wall motion abnormalities and severe coronary stenosis than those with normal findings in both. These results suggest that the objective assessment based on the normal data file in a Bull's-eye polar map is clinically important for improving the limitation of the visual interpretation in 123I-BMIPP imaging.
Adult↗
[Clinical usefulness of myocardial iodine-123-15-(p-iodophenyl)-3(R,S)-methyl-pentadecanoic acid distribution abnormality in patients with mitochondrial encephalomyopathy based on normal data file in bull's-eye polar map].
Visual interpretation of iodine-123-beta-15-(p-iodophenyl)-3(R,S)-methyl-pentadecanoic acid (123I-BMIPP) myocardial images cannot easily detect mild reduction in tracer uptake. Objective assessment of myocardial 123I-BMIPP maldistributions at rest was attempted using a bull's-eye map and its normal data file for detecting myocardial damage in patients with mitochondrial encephalomyopathy. Six patients, two with Kearns-Sayre syndrome and four with mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS), and 10 normal subjects were studied. Fractional myocardial uptake of 123I-BMIPP was also measured by dynamic static imaging to assess the global myocardial free fatty acid. These data were compared with the cardiothoracic ratio measured by chest radiography and left ventricular ejection fraction assessed by echocardiography. Abnormal cardiothoracic ratio and lower ejection fraction were detected in only one patient with Kearns-Sayre syndrome. Abnormal fractional myocardial uptake was detected in two patients (1.61%, 1.91%), whereas abnormal regional 123I-BMIPP uptake assessed by the bull's-eye map was detected in five patients (83%). All patients showed abnormal uptake in the anterior portion, and one showed progressive atrioventricular conduction abnormality and systolic dysfunction with extended 123I-BMIPP abnormal uptake. The results suggest that assessment based on the normal data file in a bull's-eye polar map is clinically useful for detection of myocardial damage in patients with mitochondrial encephalomyopathy.
Adult↗
Proposed standard for image cytometry data files.
A number of different types of computers running a variety of operating systems are presently used for the collection and analysis of image cytometry data. In order to facilitate the development of sharable data analysis programs, to allow for the transport of image cytometry data from one installation to another, and to provide a uniform and controlled means for including textual information in data files, this document describes a data storage format that is proposed as a standard for use in image cytometry. In this standard, data from an image measurement are stored in a minimum of two files. One file is written in ASCII to include information about the way the image data are written and optionally, information about the sample, experiment, equipment, etc. The image data are written separately into a binary file. This standard is proposed with the intention that it will be used internationally for the storage and handling of biomedical image cytometry data. The method of data storage described in this paper is similar to those methods published in American Association of Physicists in Medicine (AAPM) Report Number 10 and in ACR-NEMA Standards Publication Number 300-1985.
Electronic Data Processing↗
Data file. Most Medicare plans to see only 2% rate hike in 1999.
Data File: You'll find HCFA's 1999 payment rates for 100 U.S. counties with the highest Medicare risk enrollment on page 108. Plus, is managed Medicaid losing its sizzle? A new study finds that declining payment rates and changes in state programs are driving commercial HMOs out of Medicaid risk. Although this may signal a market opportunity for Medicaid providers, researchers find that profit margins can be slim to none.
Aged↗
Powder data file as a tool for identification of dental gold alloys.
In order to obtain data for a prospective powder data file for dental gold alloys X-ray diffraction photograms of 75 different gold alloys were taken using a Guinier-Hägg camera and CuKalpha1 radiation. Before the X-ray photograms were taken the alloys had been heat treated at 700 degrees C, 800 degrees C or 900 degrees C depending on the solidus temperatures of the alloys. The lattice parameters of the samples were determined from the X-ray photograms. These data were supplemented by a specification of the interplanar spacings of the three strongest lines on the diffraction patterns and also by the relative intensities and Miller indices of these lines. An extensive library of reference films is to be collected and this and other details of the file are discussed. It is not intended that the file be used to identify a particular alloy but merely to identify the type of alloy. Thus it can serve as a guide to facilitate the proper selection of gold alloys within practical clinical dentistry.
Filing↗
Transfer of numeric ASCII data files between Apple and IBM personal computers.
Listings for programs designed to transfer numeric ASCII data files between Apple and IBM personal computers are provided with accompanying descriptions of how the software operates. Details of the hardware used are also given. The programs may be easily adapted for transferring data between other microcomputers.
Computers↗
FILELB: a data file structure for the analysis of physiological systems.
FILELB is a comprehensive library of subroutines for the storage, retrieval, location, inspection and entry of sequences of experimental and analytical data. The general purpose, highly organised data file structure implemented by FILELB is the core of our interactive computer package for the analysis of physiological systems.
Data Display↗
Probabilistic linkage of large public health data files.
Probabilistic linkage technology makes it feasible and efficient to link large public health databases in a statistically justifiable manner. The problem addressed by the methodology is that of matching two files of individual data under conditions of uncertainty. Each field is subject to error which is measured by the probability that the field agrees given a record pair matches (called the m probability) and probabilities of chance agreement of its value states (called the u probability). Fellegi and Sunter pioneered record linkage theory. Advances in methodology include use of an EM algorithm for parameter estimation, optimization of matches by means of a linear sum assignment program, and more recently, a probability model that addresses both m and u probabilities for all value states of a field. This provides a means for obtaining greater precision from non-uniformly distributed fields, without the theoretical complications arising from frequency-based matching alone. The model includes an iterative parameter estimation procedure that is more robust than pre-match estimation techniques. The methodology was originally developed and tested by the author at the U.S. Census Bureau for census undercount estimation. The more recent advances and a new generalized software system were tested and validated by linking highway crashes to Emergency Medical Service (EMS) reports and to hospital admission records for the National Highway Traffic Safety Administration (NHTSA).
Adult↗
Differences in reported car weight between fatality and registration data files.
Two national-level data sources are commonly used together to estimate and compare fatality rates by car weight. The weight of each car in a fatal crash is available on the automated files of the National Highway Traffic Safety Administration's Fatal Accident Reporting System; weight is derived by interpreting the Vehicle Identification Number of each car using a computer algorithm developed and maintained by R. L. Polk & Co. Counts of cars in use, by weight, are available on R. L. Polk & Co.'s National Vehicle Population Profile files; weights are coded from information in state vehicle registration files. However, it appears that there are systematic differences in car weight coding that complicate the use of these two sources together for calculating fatality rates (fatalities per registered car). Overall, the registration data appear to describe a car (of a particular make, model, and model year) as about one hundred pounds heavier than that car is described in the fatality data. The effect is to bias the comparison of fatalities per registered vehicle against lighter cars. Failure to consider this difference can lead to very misleading results. For example, the uncorrected data produce an estimate that the number of occupant fatalities per registered minicompact car (those under 1,950 pounds) was five times the rate in the largest cars (those weighing at least 3,950 pounds). Correcting for differences in car weight reporting produces estimates that the fatality rate in minicompact cars was twice that in the largest cars. Differences by car weight remain, but they are much less than would be concluded from the biased comparison.
Accident Prevention↗
[SYS--a user-adjusted system for the logical checking and evaluation of data files].
Explore the source record for details and available documents.
Data Display↗
[Cancer of the lung: software construction for data filing and processing].
Within the framework of "Neoplastic growth control", a N.R.C. Project developed in Italy on a national scale, the authors report their initial experience in the use of a microcomputer to file and process a number of data regarding all the patients with lung cancer treated by medical or surgical therapy since 1978. The hardware consists of a TRS 80 microcomputer with a RAM memory of 48 Kbyte, while the software is designed to file and process the data of about 2000 patients. Each patient is identified by 122 parameters. 80 cases have been stored up to now. Allowing a more efficient data analysis, this highly versatile programme will facilitate the management of the hospitalized patients and the backward and prospective evaluation of the different cases. In fact, the accurate and prompt availability of all the necessary information is a major step towards the selection of the best treatment for each patient.
Adult↗
Population Index to cite publicly available machine-readable data files.
Explore the source record for details and available documents.
Bibliographies as Topic↗
[EEG data filing system with personal computer and magneto-optical disc].
We established a new computerized EEG filing system, in which an EEG machine was connected to an EEG filing unit which consisted of a personal computer with a 32 bit CPU, 18 channel analog -to-digital and digital-to-analog converters, and a magneto-optical disc driver. This system has the following merits. The system was space-saving, the space required to store the EEG data, being only 1/500 of that required for storing EEG record. Though the system had two independent EEG filing units, our original file configuration enabled us to have access to all of the recorded EEG data anytime for more than 10 years. The system enabled us to display EEG data continuously on the high resolution CRT, just as if turning the page of an EEG record paper, and through the quick scanning, enabled us to view the entire EEG pattern. Furthermore, the system enabled us to conduct reliable digital analysis for EEG data by entering the EEG data without artifacts into a data processor after confirmation on the display. In the system, we used data files with the MS-DOS operating system. This enabled us to analyze the data obtained by a personal computer operating on other systems, by transferring the data to a floppy disc operating on our system. Our EEG filing system allows quick access to data as well as mass data storage.
Electroencephalography↗
Outcomes after abdominal aortic aneurysm repair: comparison of mortality defined by centralized VA Patient Treatment File data versus hospital-based chart review.
BACKGROUND: Outcomes after abdominal aortic aneurysm (AAA) repair have been reported by individual Veterans Affairs medical centers (VAMCs) and for the entire VA patient population. PURPOSE: This study was done to determine whether outcomes defined using VA Patient Treatment File (PTF) data were comparable to those defined by direct chart review in those undergoing repair of intact AAA. METHODS: Focused chart review was performed in all veterans undergoing such AAA repair in a sample of VAMCs (n = 5) for separate 1-year periods during fiscal years (FY) 1991-1993. A previous report of outcomes after AAA repair for all veterans in DRGs 110 and 111 during FY 1991-1993 was based on PTF data that were further analyzed by Patient Management Category (PMC) software. Outcomes after AAA repair were defined in a similar fashion using PTF data and PMC analysis in the same sample VAMCs for which direct chart review data were available. Outcomes defined by chart review were then compared to those based on PTF data. RESULTS: Three of the 69 patients undergoing repair of intact AAA for which chart review data were available were assigned to DRGs other than 110 and 111 and, by definition, were not included in the PTF-derived database. Nine of 10 additional patients undergoing chart review were not identified as having undergone AAA repair by PMC software: 7 had procedure codes 39.25 instead of more standard AAA repair codes 38.34 or 38.44. Two additional patients with codes 38.64 or 38.66 were not identified as having undergone AAA repair by PMC software. The 10th patient not included in the PTF-derived database underwent additional operative procedures. Of the 13 patients missed by the combined PTF and PMC outcome analyses but identified by chart review, none died or had cardiac complications. One of these 13 patients had pulmonary complications based on chart review and PTF but was excluded by PMC analysis. There remained a total of 56 patients at the five sample VAMCs common to the PTF-derived and chart-derived databases identified as having undergone repair of intact AAA. There were two in-hospital deaths in these patients, and both were identified by each approach to outcome assessment. Four of these 56 patients had postoperative cardiac complications (ICD-9-CM code 997. 10) which were identified by both PTF and chart review. Postoperative pulmonary complications (ICD-9-CM code 997.30) were present in 4 of the 56 cases and were also identified by both PTF-based and chart-based outcome analyses. CONCLUSIONS: All deaths as well as cardiac or respiratory complications identified by chart review at the study hospitals were also affirmed by the PTF. Due to study methodologies (which restricted analysis to those in DRGs 110 and 111 and which included secondary analyses of PTF data by PMC software), 19% of patients who underwent repair of intact AAA identified by hospital-based chart review were excluded from the PTF-based outcome analysis. Outcomes defined using large databases such as the VA PTF may be comparable to those defined by chart review if study methodologies permit. Discrepancies in outcome assessment between direct chart review and large database analysis in the present study were due to methodologies used, not to deficiencies, per se, in PTF data.
Aged↗
Transferring data files between microcomputer statistical packages.
Explore the source record for details and available documents.
Data Interpretation, Statistical↗