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Snezhnevsky, the most prominent theorist of Soviet psychiatry and director of the Institute of Psychiatry of the USSR Academy of Medical Sciences, developed a novel classification of mental disorders postulating an original set of diagnostic criteria.
We developed a novel classification of green space types, based on the utility of each space (usable or non-usable), and found different socioeconomic gradients in exposure to usable and total green space.
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The proposed QBS filter applies the concepts of data quantization to signal processing in order to develop a novel classification system.
The objective of this study was to develop a novel classification system based on a modified Delphi approach and to characterize the intra- and interobserver reliability of this classification.Based on an extensive literature review and a modified Delphi approach with an expert panel, a CSD classification system was generated.
Our objective was to develop a novel classification method for developing brief assessment instruments that does not require pretesting on large numbers of research participants, and that would be suitable for computerized adaptive testing.
Based on the notion of caustics, we have developed a novel feature classification algorithm that can distinguish real and virtual features from their image trajectories due to camera motion.
We developed a novel AF classification algorithm and examined AF patterns and outcomes in the community.We characterized AF patterns between 1980 and 2005 among Framingham Heart Study participants who survived ≥ 1 year after diagnosis.
We also developed a novel Naïve Bayes curve classification algorithm with statistical interpretation and achieved 95% accuracy in differentiating 89 bacterial species in our library using leave-one-out cross-validation.
We developed a novel mathematical strategy for classification of the gene expression status in cell populations based on the increase in fluorescence over time in each individual.
Recently, our group has developed a novel and clinical reliable classification of hypovolemic shock based upon four classes of worsening base deficit (BD).
First, we consider the scenario that we developed a novel approach for a classification problem with 'hard class labels' and now want to assess its performance on an independent test dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com