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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.
The simplest approach for detecting deviation from the baseline is based on the classical Shewhart type chart [ 3].
Area deprivation at baseline is based on Carstairs' score for postcode sectors (average population=5,000) derived from the 1991 Census (McLoone and Boddy, 1994).
The presence of AF at baseline is based on clinical information from the medical records for all participants of the Rotterdam Study.
For participants of the original RS-I cohort, the presence of myocardial infarction at baseline is based on verification of either self-reported myocardial infarction or ECG abnormalities indicative of prior myocardial infarction.
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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.
Diagnoses of TB and HIV at baseline were based on the national guideline [ 20].
On the SNASA, 'caseness' at baseline was based on >2 scores from the SNASA mental illness domain.
Presence of hypertension and hyperlipidemia at baseline was based on self-reported diagnosis and/or use of medication.
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