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Presence of diseases at baseline was based on self-reported prevalence of one of the following diseases: myocardial infarction, stroke, cancer, or diabetes mellitus type 2. The occurrence of diseases between baseline and follow-up is determined by the absence of a disease at baseline and the self-reported presence of one or more of the above mentioned diseases at follow-up.
The diameter at baseline was based on the average of the three frozen images.
Presence of hypertension and hyperlipidemia at baseline was based on self-reported diagnosis and/or use of medication.
On the SNASA, 'caseness' at baseline was based on >2 scores from the SNASA mental illness domain.
However, the comparison of patients and controls at baseline was based on recordings from an identical technique, and the same was true for comparisons at follow-up.
Clinical 'caseness' at baseline was based on need symptom severity from the SNASA mental illness domain, and diagnostic cut-offs on the K-SADS (psychosis, depression, PTSD, ADHD and anxiety disorders).
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The naïve baseline is based on three main observations: (1) the effectiveness of the naïve Bayes classifier in text mining problems; (2) the link between natural language processing and computer vision via the bag-of-words representation; and (3) the cumulative-evidence nature of the inference process of naïve Bayes.
The choice of this baseline is based on existing practice of energy companies to meet the maximum energy demand they experience in the past.
Diagnoses of TB and HIV at baseline were based on the national guideline [ 20].
The simplest approach for detecting deviation from the baseline is based on the classical Shewhart type chart [ 3].
20 The univariate analyses of the variables associated with energy expenditure at baseline were based on Pearson's χ test and analysis of variance with multiple Bonferroni comparisons.
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