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Traditionally, when disease management strategies are being evaluated in the field, the severity of the disease is estimated using a visual assessment.
Maximum pain intensity was estimated using a visual analogue scale (VAS).
Brain structure volumes were estimated, using a visual guide visible on each image set.
Pain was estimated using a Visual Analogue Scale (VAS).
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The effectiveness of the procedure was estimated using a 10-cm visual analog scale (VAS), anchored at one end as no pain at all, and at the other as the worst imaginable pain.
Patient well-being was estimated using a physician's visual analogue scale (VAS), which was measured on a scale of 0 to 100 mm, with 100 mm indicating maximum well-being.
Intensity of nausea was estimated using a 1 to 10 visual analog scale ("no nausea at all" to "unbearable nausea") in the 1st trimester questionnaire and was verbally self-reported by women on the same scale in the 2nd trimester telephone interview.
Leaf damage was estimated using a four-point damage visual-rating scale (1 to 4), where a score of 1 indicates no visible damage, while a score of 4 represents >90% destruction of whorl and furl leaves.
These gradients are efficiently estimated using a new proposed algorithm based on a hypothesis model of the human visual system.
The visual field damage was estimated using the visual field index (VFI), and was VFI = 79.93 % ± 21.23 %.
Fe(II) speciation in solution was estimated using the Visual MINTEQ equilibrium speciation model (v.
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