Sentence examples for classifications software from inspiring English sources

‡Patient diagnoses categorized by AHRQ's Clinical Classifications Software (CCS).

During this process, we grouped several closely related diagnoses together and converted their original International Classification of Diseases (Ninth Revision) codes into Clinical Classifications Software codes [ 13] so that sufficient numbers could be obtained for survival analysis.

Study data, including basic demographics and primary diagnoses, were transferred from the hand-written data forms into an Excel spreadsheet (Microsoft Corporation, Redmond, WA, USA) and then manually coded into Clinical Classifications Software (CCS) multi-level categories (Agency for Healthcare Research and Quality, Rockville, MD, USA) [ 16].

We can live with the errors that classification software make when its output is subsequently reviewed by hand -- for example when the F.B.I. uses it to try to locate potential child pornography sites.

In the second method, the recognition process of drivers was simulated by an image classification software.

Applications that are more selectively addressed in the previous papers include WiFi localization classification, muscle fatigue classification, drug efficacy classification, human activity classification, software defect classification, and cardiac arrhythmia classification.

The overall objective of this study was to develop a new method of SRF identification and quantification from soil cores using a digital camera and image classification software.

This table of numeric values describing the objects from different points of view can be externally used as input data for any classification software.

While there is evidence in support of using genetic programming for software quality classification, software fault prediction and software reliability growth modeling; the results are inconclusive for software cost/effort/size estimation.

It's image-classification software being given a picture or video file and then being asked to re-create it from what that network knows images like it look like a.k.a.a

We trained and validated our classification software against bright struts.