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The aim of this study was to explore the classification of patient reported reactions as homeopathic aggravations or adverse drug reactions.
In follow-up studies it would be of interest to explore the classification of animals according to aetiology, such as bacterial, viral, and parasitical infections.
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This study has explored the classification of bipolar disorder in psychiatric hospital.
Indeed, exploring the classification of these 121 proteins shows that proteins with enzymatic activity constituted 40% of the 121.
Second, the decision tree classifier view provides users with the functionality to trace and explore the classification process of individual pixel samples.
To assess the power of serum protein profiles as a diagnostic marker for specific infections, we explored the classification performance of serum protein profiles to distinguish between the three distinct animal groups (i) non-infected control animals, (ii) PCV2/PRRSV and (iii) PCV2/PPV infected animals) in one analysis, i.e. three-group classification.
To better understand the linguistic profile of the at-risk group, we explored the language classification of each child in scatterplots contrasting the total of behavioral problems and the total of social competence (T-scores).
In this work, we explore the influence of the classification confidence of the base classifiers in ensemble learning and obtain some interesting conclusions.
To explore the association of American Society of Anesthesiologists ASAA) classification with cataract surgery outcomes.
The objective of the proposed study is to explore the performance of data classification by integrating artificial neural networks with the multivariate adaptive regression splines (MARS) approach.
Our second goal was to further explore the accuracy of such classification tasks while using only small panels of AIMs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com