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Elfiky, A. et al. Development and application of a machine learning approach to assess short-term mortality risk among patients with cancer starting chemotherapy.
The application of a machine learning model can be considered as a trade-off between a fast prediction time and the integration of additional information.
In the study presented here, we propose the application of a machine learning methodology to improve the prediction of functional interactions.
In this study, we focus on the development and large-scale application of a machine learning-based system on for the recognition of mentions of anatomical entities, organism parts at levels of organization between the molecular and the whole organism (Fig. 1).
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Abstracts were grouped in five-year sub periods specified in Table 1, which provides the frequency of abstracts.> The analytic approach involved the application of a machine-driven, computational linguistics approach.
The key points in design and applications of a machine vision system are also presented.
This paper presents the application of a new machine learning approach called Graph Machines to the prediction of the adsorption enthalpies of linear and branched alkanes on various zeolites.
Upon application of a discriminative machine learning approach, two different prediction methods were derived, both of which showed high prediction accuracy for diverse plant species and recognized specific targeting-enhancing patterns in the regions upstream of the PTS1 tripeptides [ 16].
So far, nm-level motion performance in 6 degrees of freedom (DoF) was realized through the application of an isolated machine architecture in combination with a hybrid stage concept, i.e., by stacking an active short stroke system providing fine adjustments on top of a passive long stroke system.
The work was supported by a Grant-in-Aid for Exploratory Research (number 20657014), a Grant-in-Aid for Scientific Research on Priority Areas (numbers 1704911 and 19037010) from The Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and by the program of Creation and Application of a Soft Nano-Machine, the Hyperfunctional Molecular Machine (CREST, JST).
To the best of our knowledge, no reports have been previously published on the immediate postoperative application of a passive motion machine for the postoperative treatment of these lesions, although Ahl et al.
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