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A potential clinical application of the system is described for classifying plasma samples of potential vWD patients and tracking patient response to DDAVP administration.
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We describe approaches for classifying networks based on abstract architectures and functions, rather than on the specific molecular components of the networks.
This study suggests that manual segmentation by general practitioners is feasible in the described CADx system for classifying benign and malignant skin lesions.
Six of the studies described the thresholds for classifying weight status: five used BMI cut-offs of ≥25 kg/m2 and ≥30 kg/m2 for overweight and obesity, respectively, while one study used an obesity threshold of BMI ≥27 kg/m2 [ 22].
In Section 4, we introduce metrics for describing a mechanism for classifying users as cell-edge and cell-interior users, and explain initial user classification.
Infants who were admitted and who did not receive any of the treatments described for severe disease were classified with mild disease if they had an m-RDAI ≤ 8 and with moderate disease if they had an m-RDAI 9 – 25.
The content of this paper is organized as follows: first, the research methodology used in the study is described; second, the methods for classifying FCO research is presented; third, a simple meta-analysis of FCO research are proposed, and the results of the classification are reported; and finally, the conclusions, future research implications, and limitations of the study are discussed.
Each of the 6 independently proposed and described 2 5 disease entities for classifying childhood wheezing disorders, amounting to an initial total of 24 disease entities (Table 1, Figure 1).
In this paper, we describe a systematic approach for classifying developmental stages in late-successional forests using structural metrics known to be correlated with key ecological properties such as total biomass, carbon storage, stand production rates, and wildlife habitat.
The single major outcome of the meeting was a publication describing a new scheme for classifying the glycoside hydrolases [ 1], which became a forerunner of the establishment of the CAZy (for 'Carbohydrate-Active enZymes') database [ 2] and website [ 3].
Retention patterns of the major and minor orthologous syntenic subclusters were classified as described for genes in Section 2.4.1.
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