The phrase "advanced classification" is correct and usable in written English.
It can be used in contexts related to categorizing or organizing information, particularly in fields like data science, biology, or machine learning.
Example: "The research team implemented advanced classification techniques to improve the accuracy of their predictive models."
Alternatives: "sophisticated categorization" or "enhanced sorting".
However, a more advanced classification may further specify illness course (episodic, chronic with increasing impairment, chronic with stable impairment, etc.
Moreover, more advanced classification methods will be investigated.
Four of the current most advanced classification methods are used to discriminate among the psychiatric conditions and leave-one-out cross-validation is used to evaluate the classifiers.
Despite of the previously done comparisons between natural product compounds and synthetic ones, here we present a general comparison of all elements and atom types for an advanced classification of compounds from different resources.
The SPIN project is focused on the development and testing of advanced classification methods and spatial indicators based on multisensor satellite data and GIS to accomplish monitoring and management tasks in the context of Natura 2000 and nature conservation.
Additionally though, we implemented an advanced classification for stage 2 and onwards, where capillary non-perfusion was evaluated separately for each of four quadrants of the retina, based on WFA findings with the Straurenghi 230 scanning laser ophthalmoscope retina lens (Ocular Instruments, Glenfield, Auckland).
In this paper, we focus on advancing classification and data retrieval that are instrumental when processing large macroinvertebrate image datasets.
Spearman correlation analysis showed that high level of AEG-1 expression was strongly associated with advanced clinical stage (R = 0.430, P = 0.000), advanced T classification (R = 0.284, P = 0.002), lymph node involvement (R = 0.270, P = 0.003), and distant metastasis (R = 0.251, P = 0.005; Table 2).
Immediate future work includes more advanced tweet classification using larger training sets, associated user IDs, our @mention network, and dictionary-based approaches.
Extended disease-free interval and advanced T classification at presentation were adverse prognostic factors.
On the basis of clinical research, we found that STMN-1 was highly overexpressed in distal esophageal adenocarcinoma cases with lymph node metastasis and advanced T classification.
