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Patients were classified with regard to BMI and treatment protocol.
These pixels were classified with 100% accuracy using CDAF technique.
Most notably, before the intervention, 7 of the 16 subjects were classified with metabolic syndrome.
The internal carotid arterial Doppler signals were classified with the accuracy varying from 94.87% to 97.44%.
The ophthalmic arterial Doppler signals were classified with the accuracy varying from 93.75% to 97.06%.
Five levels were classified with respect to health using fixed thresholds.
After 3 months, the answers were classified with a unique number in the EXCEL spread sheet.
11,518 respondents had valid data from the FBM; 994 (8.6%) probands were classified with CM.
Finally, the selected features were classified with a boosted tree algorithm.
Those with apnea hypopnoea index (AHI) ≥5 were classified with obstructive sleep apnea.
In this study, the participants with AHI ≥5 were classified with obstructive sleep apnea.
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