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A review of the literature on patient segmentation provided the background for this research.
In the descriptor module, variable importance and patient segmentation are described.
Figure 10 and 11 only present a tip of the possibilities of patient segmentation.
A probabilistic sensitivity analysis (PSA) was performed on the European patient segmentation using 1,000 Monte Carlo simulations to incorporate uncertainty in the individual model parameters.
The results present the performance comparison among the established machine leaning algorithms, the ranks of the prognosis elements for breast cancer, and patient segmentation.
In this respect, we describe a new analysis of patient segmentation derived from the combination of patient characteristics and evidence gathered from survey data.
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Also, a typical example of patient-segmentation was provided: the patients classified as dead were grouped into two segments depending on difference in prognostic profiles, ones with serious results with respect to the pathologic exams and the others with the feebleness of age.
As a means to completely prevent the risk of OHSS development in OHSS risk patients, a segmentation of the IVF treatment has recently been proposed [ 41].
First, we conducted a literature review on patient satisfaction and segmentation to build a survey.
A slice was selected for each patient and automated segmentation was validated against manual ground truth of one expert.
In one patient the automatic segmentation failed due to a severe bright fold-in artifact connecting the right and left ventricle.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com