data

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data

 [dat´ah, da´tah]
pieces of information, such as those collected during a study; see data collection and data analysis.
subjective data information provided by the patient that focuses on perceptions and feelings.

da·ta

(dā'tă), Although often used as a mass noun denoting an assemblage of facts, and thus treated as singular ("that data is inconclusive"), the word is grammatically plural ("those data are inconclusive").
Plural of datum.

data

[dā′tə, dat′ə, dä′tə] sing. datum
Etymology: L, datum, giving
1 pieces of information, especially those that are part of a collection to be used in an analysis of a problem, such as the diagnosis of a health problem.
2 facts stored and processed by a computer.

data

Facts and information.

Types
Qualitative data
Narrative or subjective—often describes attitudes, belief and feelings.

Quantitative data
Measurable—can be expressed in statistical form.

DATA

Abbreviation for:
Distress Awareness Training Agency (Medspeak-UK)

data

Singular, datum Factual information in the form of measurements or statistics; data is often quantifiable in terms of reproducibility Types Binary–either/or data, categoric-descriptive data, quantitative–instrument-measurable data, and semiquantitative–based on a limited number of categories data; nonquantitative data–eg, transcripts or videotapes may be coded or translated into numbers to facilitate analysis Clinical research Information collected by a researcher, which is often statistical or quantitative. See Baseline data data, Binary data, Categoric data, Cellular digital packet data, Chart, Contaminated data, Continuous data, Discretely sampled data, Fragile data, GenMoreData, GenRunData, Graph, Hard data, Health data, Health outcome data, Incidence-based data, Inconclusive data, Individual data, Mydata, Microarray data, Orphan data, Quantitative data, Raw data, Semiquantitative data, Smoker data, Soft data, Table, Tobacco data.

da·ta

(dā'tă)
1. Facts (usually established by observation, measurement, or experiment) used as a basis for inference, testing, or models.
2. Information collected about a patient, family, or community, often during intake of nursing history. [usage note The word is plural and takes a plural verb.]

data

factual material, often a collection of numbers, used as a basis for decision-making or calculation.

da·ta

(dā'tă)
1. Facts (usually established by observation, measurement, or experiment) used as a basis for inference, testing, or models.
2. Information collected about a patient, family, or community. usage note the word is plural and takes a plural verb.

data,

n.pl facts and figures; data are processed and interpreted to yield information.
data aggregation
(ag´grəgā´shən),
n a collection of protected health information used to conduct data analysis relating to the health care operations of the entity.
database,
n an organized collection of data. A medical database is all the information that exists in the practice at any time.
data processing,
n the collection of data, processing of the data to obtain usable information, and communication of this usable information.
data set,
n a hardware device that converts digital pulses (square waveform) into modulated frequencies (sinusoidal wave) for transmission, a process called modulation. It also converts modulated frequencies into voltage pulses, a process called demodulation. Also called
modem.

data

plural of datum. A collection of information or facts. See also information.

data adjustment
for useful results data often need to be modified before analysis; for example for age, for sex or for difficulty or for number of attempts.
data analysis
submission of data to statistical analysis; includes sorting into categories and determining relationships between variables.
data capture
a mechanism for collecting specified segments or categories of data from a stream of automatically recorded data some of which may be irrelevant for the specific purpose.
categorical data
are qualitative and suited to classification into categories. Further divisible into nominal (names), ordinal (levels of quality, development), dichotomized (mutually exclusive).
continuous data
data which have an infinite number of possible values.
diagnostic data
lists of diagnoses and data of clinical signs, clinical pathology results and pathology lesions used in the making of diagnoses.
dimensional data
numerical or quantitative data. May be explicit and therefore continuous, or grouped into approximate groups, e.g. nearest whole number, i.e. discrete data.
discrete data
data that have finite (usually whole integer) value and therefore fall naturally into groups of similar values; opposite to continuous data.
incidence data
data related to the occurrence of specific disease incidents.
non-normal data
data whose frequency distribution is markedly different to that of normal data (see below).
normal data
data which manifests graphically as a bell-shaped curve distributed symmetrically about the peak value.
ordinal data
a type of data containing limited categories with a ranking from the lowest to the highest, e.g. very mild, moderate, severe.
paired data
see paired data.
passive data
data acquired from records collected for some other purpose.
pre-existing data
data in existence before the commencement of a study. Of limited value unless they are exactly the data required, have been collected adequately, and a group of pre-existing controls with their corresponding data can be identified.
prevalence data
disease occurrences are recorded against the size of the population at risk at the time.
raw data
data as they are collected and before any calculation, ordering, etc. has been done.
screening data
data obtained by periodic diagnostic testing of randomly selected samples of a population.
secondary data
the use of data for purposes other than that for which it was intended.
sentinel data
data collected from sentinel animals or other recording units.

Patient discussion about data

Q. where is the greatest data base of Fibromyalgia over the net? do someone know the address ? will i find all my answers there ? is it like here where you can chat with other patient ?

A. i looked for information about Fibromyalgia all around the web and the best site gathering reliable information on it is:
http://www.nlm.nih.gov/medlineplus/fibromyalgia.html

gives you every web page about it and with a quality stamp :)


More discussions about data
References in periodicals archive ?
NEW YORK -- Compliance and Data Management solutions specialist, Datanomic, which has recently opened a US subsidiary, is offering free Screening Data Assessments to selected organizations attending the 15th Annual International Anti-Money Laundering conference in Hollywood, Florida, on 15-17 March (Stand 211).
For the first time, scientists can routinely and systematically relate screening data to compound and assay information via integrated databases.
The Company's Neometrics software applications are used by sixteen other states to collect, track, manage, and report newborn screening data to regional government health laboratories and national disease control centers.
I am confident that use in the classroom will foster even wider applicability of the ClassPharmer(TM) Suite to both virtual and real screening data analysis among universities and companies around the world.
It is unique in its capabilities to simultaneously visualize thousands of microtiter plates and to automatically detect, tag or eliminate low-quality screening data.
Not only will the symposia highlight the importance of proper colon cancer screening, but it will also offer a forum for the discussion of some of the faculties recently published colon cancer screening data and recommendations.
IntelliCorp was a logical choice for us because of its extensive expertise in background screening data aggregation.
Under the terms of the three-year, multimillion dollar agreement, Tripos and Parke-Davis will jointly design, develop and test a wide range of methodologies and software tools for the analysis, interpretation and follow-up of high-throughput screening data.
In addition to supplying drug researchers with strong traditional computational software applications, MOE includes a variety of novel applications in such leading- edge discovery areas as high throughput screening data analysis and protein/homology modeling.
The company's software addresses three critical needs in pharmaceutical R&D: (1) Predicting the properties of new potential drug molecules from their structure, (2) analyzing high throughput screening data to find common molecular structural characteristics associated with measured properties, and (3) simulating how drugs are dissolved, absorbed, and distributed into different tissues in humans and in animals.
RNAi Global provides a forum for member institutions to share research protocols, establish experimental standards and develop mechanisms for exchanging and comparing screening data.