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This work introduces a novel Behavioral Informatics Reporting Framework (BIIRF) which has been developed in the effort to review, study and compare the increasing number of Behavioral Informatics (BI) interventions for Connected Health (CH). The framework was developed through an iterative design cycle and it comprises of (i) a short-list of BI Intervention Eligibility Criteria for candidate interventions,...
Understanding the propagation of human health behavior, such as smoking and obesity, and identification of the factors that control such phenomenon is an important area of research in recent years mainly because, in industrialized countries a substantial proportion of the mortality and quality of life is due to particular behavior patterns, and that these behavior patterns are modifiable. Predicting...
Two major challenges in sensor-based measurement and assessment of healthy eating behavior are (a) choosing the behavioral indicators to be measured, and (b) interpreting the measured values. While much of the work towards solving these problems belongs in the domain of behavioral science, there are several areas where technology can help. This paper outlines an approach for representing and interpreting...
In upholding the Islamic way of life, effort to seek for moderation can be in the form of obesity prevention. Obesity is becoming the future burden of nations and actions have been taken to curb the problem of obesity. Most nations predict obesity based on the national past trend using data from population-based health surveys which are costly. Alternative method now points to data analytics which...
In this research the aim is to highlight the role of social networks in identifying and controlling the spread of diseases. Small world network is specifically explored as it reflects the real world network among people. A comparison is done among small world, regular and random networks with reference to disease spread and controlling behavior. It is observed that Small World network has medium frequency...
Recent intensive research in the fields of obesity and eating disorders has proved most traditional interventions inadequate: The obesity-targeting interventions have either failed or are strongly social context dependent, while the interventions for eating disorders have poor results and high levels of relapse. On the contrary, recent randomized control trials have illustrated that supervised training...
There is a crisis that is impacting health care in the Arab nations of the Middle East and in north and west Africa: six countries in this region are on the top-ten list worldwide in terms of diabetes prevalence. Comprising 22 countries with a total population of 350 million people, these nations constitute only about 5% of the total world population. Yet, nearly 20% of the people in Kuwait, Lebanon,...
According to the Statistics Austria more than one third of the Austrian population suffers from at least one chronic disease. Therefore efficient tools for the evaluation of the prevalence of these diseases and possible treatment and/or prevention strategies are needed. When simulating a chronic disease usually a model part for population dynamics, for the disease and also for costs is needed. Since...
Excessive body weight, especially in the form of the so-called abdominal obesity (AO) is an important factor of the cardio-metabolic risks (CMR). The paper presents a fuzzy model of AO and CMR assessments based on such key indicators of anthropometric measurements as body mass index (BMI as a measure of the global adiposity) as well as waist circumference (WC) and waist-to-height ratio (WHtR) as AO...
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