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As this group is disparate and comparisons for outcomes are difficult, it is proposed that a classification system be used.
Synold et al. [ 41] have proposed that a classification of tumours as hPXR-positive or hPXR-negative might help predict whether the tumour is likely to develop chemotherapy-induced drug resistance.
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I propose that a classification of the V-DE construction can be made first on the basis of whether the non-entity part of the constituent after -de is syntactically predicative or not.
In 1966, Bass 30 proposed that anatomical classification was clinically relevant, but only recently have Askling et al 31 and Comin et al 29 provided evidence that identifying the specific tissue involved may have clinical utility.
Various methods have been proposed that deal with distributed data clustering and classification, e.g., [8 24].
It is therefore proposed that this classification be changed to reflect the appropriate internal pressure effects.
Here it was necessary to have samples of known type to undertake the PCA analyses, however it is proposed that sample classification of unknowns would be possible with the use of clustering and discrimination tools.
It has been proposed that this classification will facilitate the diagnosis of Fabry disease, especially when combined with biomarker data such as lyso-Gb3 levels [ 35].
In 1995, Christodoulou and Pattichis (61) proposed that the classification procedure using ANN is implemented in three phases: In the first phase unsupervised learning is applied based on one dimensional self-organizing feature map and competitive learning.
In fact, schemes were already proposed for a classification that is based on assessment of molecular aberrations rather than purely on histopathology [ 126].
Considering all of the above, we propose that a country may adopt a land classification scheme such as the one presented in Figure 5.
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CEO of Professional Science Editing for Scientists @ prosciediting.com