Artificial Intelligence technologies to manage obesity

Bruna Marmett, Roseana Boek Carvalho, Melissa Santos Fortes, Sílvio César Cazella

Resumo


In the last few decades, obesity has grown exponentially and it progression is imminent contributing to the increase of mortality levels. Artificial Intelligence (AI), which is Computer Science area, could be well applied to management of obesity, such as an important tool to avoid the threat caused by this disease. The aim of this literature review was to show AI applications to obesity management and discuss their effectiveness. The search was performed in the following databases: Public Medline (PubMed), Web of Science, Biblioteca Regional de Medicina (BIREME) and Google Academic, by using following keywords, “artificial intelligence” and “obesity”. Our results led to some Artificial Intelligence systems used in obesity handling, which were: the Decision Support System to bariatric surgery patients; the MOPET app to motivate physical activity; Parameter Decreasing Methods and Artificial Neural Network to correlate obesity to cardiovascular disease; Artificial Neural Network to predict resting energy expenditure; a Neuro-Fuzzy Model to refine body mass index result; an Image Processing Algorithm; and a Support Vector Machine that monitors food intake. In this review, all investigated AI systems may have a tendency to more accurate results indicating a promising tool to manage obesity and related diseases.

Palavras-chave


obesity, artificial intelligence, body weight, disease management

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DOI: https://doi.org/10.14295/vittalle.v30i2.7654

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