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What (who) is Q-coder - definition

DATA COMPRESSION

Transform coder

Q with stroke

LETTER OF THE LATIN ALPHABET

Q̵; Ꝗ; Ꝗꝗ; Ꝙ

Q with stroke (Ꝗ, ꝗ) is a letter of the Latin alphabet, derived from writing the letter Q with the addition of a bar through the letter's descender. The letter was used by scribes during the Middle Ages, where it was employed primarily as an abbreviationa modern parallel of this would be abbreviating the word "and" with an ampersand (&).

https://en.wikipedia.org/wiki/Q_with_stroke

Clinical coder

HEALTH CARE PROFESSIONAL WHOSE MAIN DUTIES ARE TO ANALYSE CLINICAL STATEMENTS AND ASSIGN STANDARD CODES USING A CLASSIFICATION SYSTEM

Medical coder; Medical coding; Clinical coding; Medical coding specialist

A clinical coder—also known as clinical coding officer, diagnostic coder, medical coder, or nosologist—is a health information professional whose main duties are to analyse clinical statements and assign standard codes using a classification system. The Health data produced are an integral part of health information management, and are used by local and national governments, private healthcare organizations and international agencies for various purposes, including medical and health services research, epidemiological studies, health resource allocation, case mix management, public health programming, medical billing, and public education.

https://en.wikipedia.org/wiki/Clinical_coder

Q (dairy)

NORWEGIAN DAIRY COMPANY

Q–meieriene; Q Milk; Q-Milk; Q-Melk; Q Melk; Q-meieriene

Q or Q–meieriene is a private dairy products company based in Bergen, Norway. It is owned by the Kavli Group (Kavli Holding AS) which in turn is owned by the Kavli Trust (Kavlifondet).

https://en.wikipedia.org/wiki/Q_(dairy)

Wikipedia

Transform coding

Transform coding is a type of data compression for "natural" data like audio signals or photographic images. The transformation is typically lossless (perfectly reversible) on its own but is used to enable better (more targeted) quantization, which then results in a lower quality copy of the original input (lossy compression).

In transform coding, knowledge of the application is used to choose information to discard, thereby lowering its bandwidth. The remaining information can then be compressed via a variety of methods. When the output is decoded, the result may not be identical to the original input, but is expected to be close enough for the purpose of the application.

https://en.wikipedia.org/wiki/Transform coding