In an initial study, we examined the feasibility of using Zernike polynomials to represent biomedical instrument data in conjunction with a decision tree classifier to distinguish between the diseased and non-diseased eyes.
We have built a general tool (Regextractor) and developed a methodology for parsing, abstracting and assembling structured data from textual instrument data in our electronic health record.
We bring real scientific instruments and data in a cost-effective way to students throughout the world.
Brought to the surface, it could tell them where the fire began, and some of its instruments store data in computer chips that could still be retrieved.
The proliferation of instruments producing data in a digital format means that even researchers still exclusively using paper notebooks have had to change their behaviour, either by printing out electronic data and pasting it into their paper-notebooks, or storing digital files and including a reference to the storage location and file names within their notebooks [9].
Furthermore, although the sample composition was larger and more heterogeneous than the samples used to validate similar instruments, the data in this study should not be considered representative of each country.
The instrument data sets range in size from 96 (interRAI AC) to 320 (interRAI CMH).
NMR instrument data are typically stored in files with proprietary binary formats unique to the instrument's manufacturer.
Differences between the handheld and paper and pencil instruments in data entry, in data handling and transfer times, were seldom evaluated in these studies, yet, theoretically handheld computers offer enormous temporal and financial benefits that deserve further exploration in clinical research.
They drove home, leaving the instrument to gather data in peace.
Questionnaires are frequently used instruments to collect data in epidemiological studies.
