Other content with the tag "machine learning".

Development and External Validation of a Machine Learning Model Based on Preoperative Nutritional Status for Predicting Acute Kidney Injury After Coronary Artery Bypass Grafting

This study shows that poor preoperative nutritional status—especially low PNI—is an independent predictor of acute kidney injury after CABG.

AI-Driven Identification of Nutrition-Modulated Biomarkers and Drug Targets for Cardiovascular Therapeutic Mechanisms

This mini-review explores how artificial intelligence can integrate nutrition, multi-omics data, and clinical information to identify biomarkers an

Saccharin Aggravates Eosinophilic Esophagitis via MAPK3 Interaction: A Network Toxicology and Machine Learning Study With SPR Analysis

This original research investigated the potential role of the artificial sweetener saccharin in exacerbating eosinophilic esophagitis (EoE), a chro

Using SHAP and LIME to Explain Machine Learning Models Predicting Comorbid Depression and Stroke From Daily Dietary Nutrient Intake in a US Population-Based Study

This population-based study used data from the US National Health and Nutrition Examination Survey (NHANES 2005–2018) to investigate how daily diet

The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis
The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis

This study explores the predictive value of the triglyceride–glucose (TyG) index and its derivatives (TyG–BMI, TyG–WC, TyG–WHtR) for all-cause and

AI-Powered Nutritional Strategies: Analyzing the Impact of Deep Learning on Dietary Improvements in South Africa, India, and the United States
AI-Powered Nutritional Strategies: Analyzing the Impact of Deep Learning on Dietary Improvements in South Africa, India, and the United States

This review examines how AI, particularly deep learning, is transforming nutritional strategies to address dietary challenges across South Africa,

The Role of Artificial Intelligence in Personalized Nutrition
The Role of Artificial Intelligence in Personalized Nutrition

 

Filipino Meal Recognition Scale with Food Nutrition Calculation and Smart Application
Filipino Meal Recognition Scale with Food Nutrition Calculation and Smart Application

 

Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review
Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review

The article titled "Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review" by Dimitris Tsolakidis, Lazaros