Elias Ruiz

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OBJECTIVE This study analyzes whether obese children have a higher risk of attention deficit/hyperactivity "characteristics" (AD/HD) than do children with other nutritional states. METHOD This study included 35,403 participants from 486 community schools. They completed the AD/HD scale of the Strengths and Difficulties Questionnaire (SDQ) and were weighed(More)
The purpose of this study is to investigate the associations between peer teasing and body dissatisfaction (BD), emotional symptoms, drive for thinness (DT), and abnormal eating behaviors, as well as to analyze the mediating role of gender and body mass index (BMI) in such disorders. We screened 57,997 school children between 13 and 16 years of age. Scores(More)
BACKGROUND Clinical inertia has been defined as mistakes by the physician in starting or intensifying treatment when indicated. Inertia, therefore, can affect other stages in the healthcare process, like diagnosis. The diagnosis of dyslipidemia requires ≥2 high lipid values, but inappropriate behavior in the diagnosis of dyslipidemia has only previously(More)
OBJECTIVE To validate the Spanish version of the Children's Eating Attitudes Test (ChEAT). METHOD The factor structure and other psychometric characteristics of the questionnaire were examined using the answers of 38,554 schoolchildren. Diagnostic efficiency was based on a standardized clinical interview of 968 schoolchildren who had previously completed(More)
A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian network which is used for object recognition. We use a symbol-relational grammar for a hierarchical description of objects, incorporating spatial relations. The structure of a Bayesian network is(More)
This paper states a novel hybrid-metaheuristic based on the Theory of Deterministic Swapping, Theory of Evolution and Simulated Annealing Meta-heuristic for the multi-objective optimization of combinatorial problems. The proposed algorithm is named EMSA. It is an improvement of MODS algorithm. Unlike MODS, EMSA works using a search direction given through(More)