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Four enhanced machine learning models were used to predict obesity in high school students by focusing on both risk and protective factors: binary logistic regression; improved decision tree (IDT); weighted k-nearest neighbor (KNN); and artificial neural network (ANN). Nine health-related behaviors from the 2015 Youth Risk Behavior Surveillance System (YRBSS) for the state of Tennessee were used as...
Obesity is becoming a widely prevalent issue worldwide. The excessive loading placed on the foot due to obesity can cause damage to the soft tissue and musculoskeletal structure which leads to foot discomfort and the development of foot pathologies. Experimental and computational methods of analysis were combined in this study to analyse the effects of obesity on the foot. It has been shown previously...
Research suggests that there might be a relationship between chewing rate and final energy intake. Wearable sensor systems have been proposed for automatic detection of food intake. This work presents the use of linear regression for estimation of chew counts from piezoelectric sensor signal. For known chewing sequences, four features are computed (number of peaks, valleys, zero crossings and duration...
Childhood obesity is a serious health problem that has adverse and long-lasting consequences for individuals, families, and communities. The magnitude of the problem has increased dramatically during the last three decades and, despite some indications of a plateau in this growth, the numbers remain stubbornly high. The nature of child obesity data is very complicated with different factors dependent...
Macrosteatotic livers have become endemic in our nation as obesity continues to rise, consequently leading to a decrease in the number of viable transplantable livers in the donor pool. Considering orthotopic liver transplantation has been proven to be the most effective cure for liver failure caused by macrosteatotic livers, it is imperative a method be developed in order to recondition livers into...
Child obesity is a public health problem that is of concern of several countries around the world. Long-term effects of child obesity include prevalence of chronic diseases, such as diabetes and heart-related illnesses. This paper presents an agent-based simulation framework to analyze the evolution of obesity in school-age children. In particular, in this paper we evaluate the impact of physical...
Obesity is a major health problem worldwide, with important economic and social effects. Obesity affects cardiovascular and respiratory systems directly. In this paper, after presenting a noninvasive indicator of contractility, based on the clinical echocardiografic measurements, a computer model (implemented in Simulink) based on the simplified circuit of the cardiovascular model is used, taking...
Internationally, at the population level, a review of overweight/obesity prevalence trends reveals consistent increase of the condition in industrialized nations, but considerable variability internationally in the magnitude of the change. Unlike other approaches to reduce obesity that rely in expert design of someone's strategy, the decision support model (DSM) proposed by this research goes beyond...
Conceptual modelling, one of the first stages in a simulation study, is about understanding the situation under study and deciding what and how to model. We argue that stakeholder involvement as part of conceptual modelling could lead to a more successful simulation study with better prospects for implementation. Our work is mainly applied in health care studies, which are characterized by many stakeholders...
The human body plays host to thousands of bacterial species in a variety of ecosystems. Until recently, microbial communities have been impossible to investigate thoroughly, as the vast majority of bacteria cannot be cultured through laboratory techniques. New technologies (e.g. high-throughput sequencing, 16S rRNA surveys) allow us to deeply sample the genetic content of a microbial environment in...
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