Latest AI and machine learning research in obesity for healthcare professionals.
Accurate diabetes risk prediction relies on identifying key features from complex health datasets, but conventional methods like mutual information (MI) filters and genetic algorithms (GAs) often overlook extreme dependencies critical for high-risk subpopulations. In this study we introduce a feature-selection framework using the upper-tail dependence coefficient ({\lambda}U) of the novel A2 cop...
The global prevalence of diabetes, particularly type 2 diabetes mellitus (T2DM), is rapidly increasing, posing significant health and economic challenges. T2DM not only disrupts blood glucose regulation but also damages vital organs such as the heart, kidneys, eyes, nerves, and blood vessels, leading to substantial morbidity and mortality. In the US alone, the economic burden of diagnosed diabet...
As online platforms grow, comment sections increasingly host harassment that undermines user experience and well-being. This study benchmarks three ...
Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who is most at risk remains challenging due to the no...
Heavy metal concentration in pregnant women affects neurocognitive and behavioral development of their infants and children. The majority of existing ...
As a social being, we have an intimate bond with the environment. A plethora of things in human life, such as lifestyle, health, and food are depend...
User experience significantly impacts pharmaceutical drug effectiveness. Social media platforms, particularly Twitter (now X), have become prominent...
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring the importance of early and right risk prediction f...
While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe and morbid obesity, its therapeutic efficacy hinges...
Early prevention and standardized management of refractory wounds in the elderly are very important for improving prognosis, reducing disability rate,...
Brain stroke remains one of the principal causes of death and disability worldwide, yet most tabular-data prediction models still hover below the 95...
Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptiv...
Accelerometer data obtained with wearable devices over extended periods of time provides objective, valuable information on activity behavior. Buildin...
This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated ...
BACKGROUND: Research on chronic multimorbidity has increasingly become a focal point with the aging of the population. Many studies in this area requi...
Stroke remains one of the most critical global health challenges, ranking as the second leading cause of death and the third leading cause of disabi...
Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes significant burdens on both quality of life and healthc...
The application of artificial intelligence (AI) technology has realized the transformation of people's production and lifestyle, and also promoted the...
Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin resistance, hypertension and hyperlipidemia. It incr...
Cardiovascular disease (CVD) significantly impacts global mortality and aging. Effective risk assessment relies on models like Linear Discriminant Ana...