Sentence examples for computer classifications from inspiring English sources

The most complete computer classifications of protein folds are "Dali/FSSP" developed by Holm and Sander, "CATH" (Class-Architecture-Topology-Homology) by Thornton's team, and, perhaps the most popular among them, "SCOP" (Structural Classification of Proteins) developed by Murzin after he left Pushchino for Cambridge.

Multiple citizen scientists do a better job than one exhausted graduate student, and computer classifications have an error rate of 20%to30%0%.

PURPOSE: To evaluate the interobserver variability in descriptions of breast masses by dedicated breast imagers and radiology residents and determine how any differences in lesion description affect the performance of a computer-aided diagnosis (CAD) computer classification system.

A majority did concur with the computer classification for 91 of 95 visual fields.

Thus, there was majority agreement of the expert panel and the computer classification in 91 of 95 (96%) fields.

Overall 153 initial readings (69.6 %) are in agreement with the computer classification, which increases to 176 readings (80.0 %) after consulting the computer output.

Figure 4 shows a visual field in which the members agreed among themselves but not with the computer classification, and Figures 5, 6 and 7 show fields for which there was little agreement among the expert panel during independent classification.

The computerized classification system was used to categorize visual field defects for an additional 95 NAION visual fields, and the expert panel was asked to independently classify the new fields and subsequently whether they agreed with the computer classification.

Although two members of the panel concurred with the computer classification (superior arcuate, inferior altitudinal, and central scotoma), two members classified the inferior defect as an arcuate and one member classified the superior defect as an altitudinal defect.

As we were interested in classification systems that can be used widely, not only for detection of suboptimal care, but also to classify the main factors involved in a perinatal death as ascribed by an experienced clinical team, we excluded classification systems focusing on suboptimal care or avoidable factors and automated computer classification systems.

The analyses exploring the internal validity of the data recorded on the PAR (whether the data had clinical meaning) showed similar associations with death for the clinician's classification and the computer derived classification that was based on the recorded signs (table 5).