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Inserisci una parola o una frase in qualsiasi lingua 👆

Lingua:

Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT

In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:

come viene usata la parola
frequenza di utilizzo
è usato più spesso nel discorso orale o scritto
opzioni di traduzione delle parole
esempi di utilizzo (varie frasi con traduzione)
etimologia

Cosa (chi) è severity estimate - definizione

Raygor Estimate Graph; Raygor Readability Estimate

Severity of illness

LEVELS WITHIN A DIAGNOSTIC GROUP WHICH ARE ESTABLISHED BY MEASUREMENT CRITERIA APPLIED TO THE SERIOUSNESS OF A PATIENT'S DISORDER

Severity of Illness; Severity of illness index

Severity of illness (SOI) is defined as the extent of organ system derangement or physiologic decompensation for a patient. It gives a medical classification into minor, moderate, major, and extreme.

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

severe

WIKIMEDIA DISAMBIGUATION PAGE

Severe; Severity (disambiguation); Severely

¦ adjective

1. (of something bad, undesirable, or difficult) very great; intense.

2. strict or harsh.

3. very plain in style or appearance.

Derivatives

severely adverb

severity noun

Origin

C16: from Fr. severe or L. severus.

severe

WIKIMEDIA DISAMBIGUATION PAGE

Severe; Severity (disambiguation); Severely

a.

1.

Rigid, stern, strict, sharp, harsh, bitter, austere, rigorous, stiff, strait-laced, hard, unrelenting, relentless, inexorable, peremptory, censorious, cruel, bitter, morose.

2.

Strict, exact, accurate, methodical.

3.

Simple, plain, unadorned, chaste.

4.

Caustic, satirical, sarcastic, keen, cutting, stinging, biting, sharp, harsh, bitter, cruel, trenchant.

5.

Distressing, afflictive, acute, violent, extreme, intense, sharp.

6.

Serious, earnest, sedate, grave, austere, sober.

7.

Exact, critical, rigorous, hard.

Wikipedia

Raygor readability estimate

The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977.

The US grade level is calculated by the average number of sentences and letters per hundred words. These averages are plotted onto a specific graph where the intersection of the average number of sentences and the average number of letters/word determines the reading level of the content. Note that this graph is very similar to the Fry readability formula's graph.

This graph is primarily used in secondary education to help classify teaching materials and books into their appropriate reading groups.

https://en.wikipedia.org/wiki/Raygor readability estimate