Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Due to the increasing prevalence of chronic kidney disease and its high mortality rate, study of risk factors affecting the progression of the disease is of great importance. Here in this work, we aim to develop a framework for using machine learning methods to identify factors affecting kidney function. To this end classification methods are trained to predict the serum creatinine level based on ...
Knowledge extraction aims to identify entities and extract relations between them from unstructured text, which are in the form of triplets. Analysis of the fruit nutrition domain corpus revealed many overlapping triplets, that is, multiple correspondences between a subject and multiple objects or the same subject and object. The current relevant methods mainly target the extraction of ordinary tr...
BACKGROUND: Obesity is a leading cause of preventable death worldwide. Artificial intelligence (AI), characterized by machine learning (ML) and deep l...
BACKGROUND: Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain da...
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To t...
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease in the world. The NAFLD spectrum includes simple st...
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence ...
The benefits of robot-assisted laparoscopic surgery (RALS) for rectal cancer remain controversial. Only a few studies have evaluated the safety and fe...
The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes predict...
Metabolic and bariatric surgery is an effective treatment for the management of obesity and related comorbidities. Although the duodenal switch has de...
A human stomach is an organ in the digestive system that breaks down foods by physiological digestion, including mechanical and chemical functions. Th...
DNA methylation is closely related to the occurrence and development of many diseases, but its role in obesity is still unclear. This study aimed to f...
BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human beings that further may cause several diseases such a...
Type 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different pathophysiological and genetic characteristics affecting its ...
With the development of modern Internet technology, the health assessment model based on computer technology has gradually become a research hotspot. ...
A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for...
Diabetes is a chronic disease that can cause several forms of chronic damage to the human body, including heart problems, kidney failure, depression, ...
This paper presents an integrated and scalable precision health service for health promotion and chronic disease prevention. Continuous real-time moni...
Random forests are a popular type of machine learning model, which are relatively robust to overfitting, unlike some other machine learning models, an...
Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the early stages of life, teenagers begin to exhibit bad ...