Abstract
Overweight and obesity are affecting productivity and quality of life worldwide. The Internet of Things (IoT) makes it possible to interconnect, detect, identify, and process data between objects or services to fulfill a common objective. The main advantages of IoT in healthcare are the monitoring, analysis, diagnosis, and control of conditions such as overweight and obesity and the generation of recommendations to prevent them. However, the objects used in the IoT have limited resources, so it has become necessary to consider other alternatives to analyze the data generated from monitoring, analysis, diagnosis, control, and the generation of recommendations, such as machine learning. This work presents PISIoT: a machine learning and IoT-based smart health platform for the prevention, detection, treatment, and control of overweight and obesity, and other associated conditions or health problems. Weka API and the J48 machine learning algorithm were used to identify critical variables and classify patients, while Apache Mahout and RuleML were used to generate medical recommendations. Finally, to validate the PISIoT platform, we present a case study on the prevention of myocardial infarction in elderly patients with obesity by monitoring biomedical variables.
Highlights
Worldwide obesity has nearly tripled since 1975
Machine learning is a subset of artificial intelligence that consists in studying the algorithms and statistical models used in computer systems in order to achieve specific objectives effectively, based on patterns and inferences [8]
In thisVariables section, we present a case study to validate the contribution of PISIoT to weight control or loss elderly patients with obesity, who are more prone to myocardial
Summary
In 2016, more than 1.9 billion adults aged 18 years and older were overweight, and of these, over 650 million were obese. 39% of adults aged 18 years and over were overweight, and 13% were obese. Most of the world’s population lives in countries where being overweight and obese kills more people than being underweight. Overweight and obesity are defined as abnormal or excessive fat accumulation that impairs the health, productivity, and quality of life of people all over the world [1]. The body mass index (BMI) is a simple weight index that takes into account height to determine overweight and obesity in adults. The BMI provides the most useful population-level measure of overweight and obesity, as it is the same for both sexes and all ages. The fundamental cause of obesity and overweight is an energy imbalance between calories consumed and calories burned
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