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Two new study classifications have been introduced: in level 1, category c "all or none" studies; and in level 2, category c "outcomes" research.
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In this study, classification uncertainty was analyzed, based on the support vector machines (SVM) algorithm.
In the present study, classification models have been developed for the prediction of the anti-HIV activity of purine nucleoside analogs.
While structural features are a rich and intuitive representation of the objects under study, classification using structural features, in general, is computationally intensive.
Statistics Canada attempted to derive a match measure by linking the categories of the 1980 Standard Occupational Classification to the 1991 Census Major Field of Study classification (Lathe 1996).
e) Study classification: Studies were classified into one or more of the three broad categories of spatial epidemiological approaches, and relevant details of the methods applied in each category were extracted.
Table 1 Classification scheme used in this study Classification Ranges Instruction Very low coverage vegetation 0.00001 0.1 Intensity of desertified land, bare soil, ground flowing sand, gobi, water bodies, etc.
Furthermore, in machine learning, building empirical scaling models called learning curves is a natural way to study classification accuracy as a function of the training set size.
In our study, classification of human diseases is based on number of observable phenotypic defects.
In our study, classification is easier for unilateral VCP than for vocal fold polyp subjects.
In this study, classification as nos-NSCLC was associated with early progression under EGFR-TKI.
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