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The bag-of-soft-biometrics is evaluated in order to calculate the relevance level of each feature on the second step during the training phase.
Taking into account the fact that the relevance level for each extracted feature is different, four methods to measuring it are proposed.
To determine the relevance level of non-technical skills of those professionals dedicated to the healthcare of patients with chronic diseases, from an analysis of home care professionals.
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Finally we estimated the precision (= positive predictive value, which is percentage of retrieved articles that are relevant) for each of the relevance levels of Relemed, and consecutive bins of size n in PubMed.
The algorithm then matches this extracted information with the search keywords input by the user to compute the relevance levels for each item.
The quantity (tau _{j}^{(t)}=sum _{n=1}^{N}p z_{n}^{j}=1mid x_{n},y_{n}=1,theta ^{(t)})) is interpreted as the sum of the relevance levels of observations to the jth hypersphere and its small value implies that this hypersphere is redundant and has a too small radius.
However level 8 has a low specificity, which is the reason we assigned the lowest relevance level to it.
This we believe indicates that, in the majority of instances, the matched article would be of high relevance to the user's query, hence the first relevance level.
With existing solutions, users would need to read extra meta-information of each file in order to differentiate between files with the same relevance level.
For example, it would be helpful if Relemed showed the total number of matched articles per relevance level in the first page of results.
The relevance and level of contribution of each indicator was assessed by examining the absolute indicator weights.
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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