Background While there is increasing interest in identifying pregnancies at risk for adverse
outcome, existing prediction models have not adequately assessed population-based risks …

This paper presents work on using data extracted from Twitter to predict the outcome of the
latest USA presidential elections on 8th of November 2016 in three key states: Florida, Ohio …

Obesity is highly prevalent in children under the age of 5 years, although its identification in
infants under 2 years remains difficult. Several clinical prediction models have been …

Current conventional methods of predicting obesity are costly where the government collects
huge amounts of public health data through National Health and Morbidity Survey (NHMS) …

Childhood obesity is a very worrying global epidemic and the Malaysian children have
shown alarming statistics. Therefore, obesity and overweight predictions at an early age are …

El proyecto consiste en analizar, diseñar e implementar un software que utilice un modelo
de minería de datos, hecho en base a información recolectada de diversos colegios en el …

Childhood obesity is an increasingly pervasive problem. Traditional therapy programs are
time-and cost-intensive. Furthermore, success of therapy is often not guaranteed. Typically …

In general, obesity is calculated using the BMI, which is found to have limitations of use
when we insert only one type of non-quantitative data as a crisp value, which is commonly …

Cardiovascular Disease (CVD) refers to any condition involving narrow or blocked blood
vessels, which can lead to a heart attack, chest pain or stroke. CVD is a chronic illness and …