INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk for weight gain and intervening before they gain weight could have a major public health impact. Our objective was to develop and test electronic heal...
OBJECTIVE: To analyze the effect of a new type of tension-reduced suture named "double W tension-reduced suture technique" on the abdominal scars following the da Vinci robot-assisted gastrectomy for severely obese patients.
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technologies are a new source of hope. Chat GPT is a language model that has become popular in recent times ...
Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considered technically challenging. We conducted a retrospective matched-pair analysis to compare the oncological and functional outcomes of RARP in men with B...
Revista brasileira de epidemiologia = Brazilian journal of epidemiology
Mar 10, 2023
OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency s...
Machine Learning is a powerful tool to discover hidden information and relationships in various data-driven research fields. Obesity is an extremely complex topic, involving biological, physiological, psychological, and environmental factors. One suc...
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
BACKGROUND: Obesity is a leading cause of preventable death worldwide. Artificial intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has become an indispensable tool in obesity research.
BACKGROUND: Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain data. While artificial intelligence and machine learning models provide powerful modeling tools, failu...