Sentence examples for categorization scale from inspiring English sources

Exact(1)

We have used the Patient Acuity Categorization Scale (PACS) drawn up and periodically revised by the Emergency Medicine Services Committee, Singapore [14] as a guide for emergency departments to make decisions on acuity and disposition.

Similar(59)

In a recent article in BMC Cancer, Garrido-Estepa et.al. [ 8] compared four classification scales of risk categorizations for breast cancer based on mammographic density patterns from women included in the DDM-Spain study.

Given a URL, Alchemy extracts the associated text and returns featured words, the main topic, and a confidence value for the categorization which scales from 0 to 1 representing the API's degree of belief that the text pertains to that category.

Please use this card again to help with your answer [1 completely dissatisfied 10 completely satisfied].' Without any categorization, the above scale variable (1-10) was used in our analysis.

On the other hand trauma registries, with the costs of data collection shared by participating hospitals, allow more appropriate codification of injury (i.e. Abbreviated Injury Scale), categorization by severity (i.e. ISS), exclude multiple admissions for the same injury, permit tracing of transfers, and capture information on post discharge deaths [e.g. [ 21]].

Previous studies have aimed at large-scale categorization of human HK genes, largely based on microarray technology.

The rating scale categorizations presented to respondents are intended to elicit from those respondents unambiguous, ordinal indications of the locations of those respondents along the latent trait of interest [ 37].

First categorization level generates the scale prototypes and an upper level categorizes the prototypes fusion.

Mean TL in the whole sample was 6.07 kb, (range = 3.28 to 8.19).> -wrap-foot> *Mostly Black; hospital anxiety and depression scale (HADS) categorization: Normal = 0 to 7; symptomatic = 8 to 21. BMI, body mass index.

Thus, the average measures (-0.46, -0.19, 0.38, 1.01 and 1.85) and threshold estimates (-1.95, -0.79, 0.67 and 2.06) showed an increase in parallel with the increase across category labels, suggesting that the categorization of the rating scale was successful (Fig.  4).

This architecture recognizes the input textured image through a hierarchical categorization structure in multiple scales.

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