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For completely novel compounds, the ClassyFire web server takes an average of 540 ms to classify a structure.
We used a saccade velocity threshold (> 60°/s) and a fixation duration threshold (>100 ms) to classify saccades and fixations in each trial.
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Therefore, we recently developed multiplex PCRs (M-PCRs) to classify SC types simply and rapidly [7].
We use the M-measure to classify SNP CNA profiles into three states: gain, loss and neither.
This model uses hemoglobin concentration, β2-microglobulin levels and serum immunoglobulin (Ig) M level to classify patients into four prognostic groups with significantly different 5-year survival rates.
In a novel analysis, we demonstrate this point with a Model Categorizer that uses the information encoded in the brain every 4 ms between 140 and 200 ms to attempt to classify the incoming facial expression at 75% correct, as human observers did.
Body weight and height were used to calculate admission body mass index (BMI) (weight (kg) / [height (m)]) and to classify obesity.
For these women, we used the most severe disease ranking in the SNOMED diagnostic (morphology M) category observed to classify histology grade.
BMI, calculated as body weight (kg) divided by the square of height (m), was used to classify obesity status as underweight (<18.5 kg/m), normal (18.5 24 kg/m), overweight (24 26.9 kg/m), or obese (≥27 kg/m), as defined by the Taiwan Department of Health [ 30].
Then, tapered, ovoid, and square arch-form templates (3 M Unitek) were used to classify each case, based on the arch form that provided the best fit to the eight clinical bracket points ranging from the mandibular right first premolar to the left first premolar [ 33].
The mean of all measures will be used for analysis, and Body Mass Index (BMI) (weight in kg/height in m) will be calculated to classify child and adult weight status using the International Obesity Task Force age-specific BMI cut-off points [ 20].
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