AIMC Topic: Postprandial Period

Clear Filters Showing 1 to 8 of 8 articles

Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study.

JMIR research protocols Jan 23, 2025
BACKGROUND: Type 2 diabetes (T2D) is a leading cause of premature morbidity and mortality globally and affects more than 100 million people in the world's most populous country, India. Nutrition is a critical and evidence-based component of effective...
Machine Learning Prospective Studies Female Adult Humans Diabetes Mellitus, Type 2 India Glycated Hemoglobin Postprandial Period Male Middle Aged Blood Glucose
View on PubMed DOI

Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data.

PloS one Aug 1, 2024
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding m...
Blood Glucose Bayes Theorem Postprandial Period Diabetes, Gestational Female Humans Adult Machine Learning Diet Pregnancy Exercise
View on PubMed DOI

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning.

Sensors (Basel, Switzerland) Mar 22, 2024
In this paper, we propose an amount estimation method for food intake based on both color and depth images. Two pairs of color and depth images are captured pre- and post-meals. The pre- and post-meal color images are employed to detect food types an...
Postprandial Period Food Computer Simulation Deep Learning Eating
View on PubMed DOI

Application of Machine Learning to Assess Interindividual Variability in Rapid-Acting Insulin Responses After Subcutaneous Injection in People With Type 1 Diabetes.

Canadian journal of diabetes Sep 6, 2021
OBJECTIVES: Circulating insulin concentrations mediate vascular-inflammatory and prothrombotic factors. However, it is unknown whether interindividual differences in circulating insulin levels are associated with different inflammatory and prothrombo...
Hypoglycemic Agents Fibrinogen Insulin, Short-Acting Plasminogen Activator Inhibitor 1 Postprandial Period Insulin Insulin Resistance Humans Injections, Subcutaneous Machine Learning Diabetes Mellitus, Type 1 Blood Glucose
View on PubMed DOI

Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Insulin Diabetes Mellitus, Type 1 Hypoglycemic Agents Bayes Theorem Male Middle Aged Blood Glucose False Positive Reactions Normal Distribution Insulin Infusion Systems Capillaries Hypoglycemia Postprandial Period Blood Glucose Self-Monitoring Algorithms Computer Simulation Retrospective Studies Female Reproducibility of Results Adult Sensitivity and Specificity Humans Machine Learning
View on PubMed DOI

Risk-based postprandial hypoglycemia forecasting using supervised learning.

International journal of medical informatics Mar 11, 2019
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postpra...
Postprandial Period Insulin Infusion Systems Hypoglycemic Agents Hypoglycemia Supervised Machine Learning Forecasting Retrospective Studies Female Male Blood Glucose Insulin Diabetes Mellitus, Type 1 Humans
View on PubMed DOI

Overweight postmenopausal women with different plasma estradiol concentrations present with a similar pattern of energy expenditure and substrate oxidation rate before and after a fatty meal challenge.

Clinical nutrition ESPEN Jun 2, 2016
Menopause-related withdrawal of ovarian estrogens is associated with reduced energy metabolism and overall impairment of substrate oxidation. Estradiol's withdrawal after menopause is associated with a reduction in energy metabolism and impaired subs...
Dietary Fats Menopause Intra-Abdominal Fat Calorimetry, Indirect Carbohydrate Metabolism Estrogens Body Mass Index Obesity Oxidation-Reduction Middle Aged Child Estradiol Postprandial Period Energy Metabolism Postmenopause Meals Body Composition Lipid Metabolism Eating Humans Female
View on PubMed DOI

Alpha-Linolenic Acid-Enriched Diacylglycerol Oil Suppresses the Postprandial Serum Triglyceride Level-A Randomized, Double-Blind, Placebo-Controlled, Crossover Study.

Journal of nutritional science and vitaminology Jan 1, 2016
This study investigated the effect of a single oral ingestion of alpha-linolenic acid-enriched diacylglycerol (ALA-DAG) on postprandial serum triglyceride (TG) levels. A randomized, double-blind, controlled, crossover study was performed in subjects ...
Adult Male Middle Aged Fasting Insulin Dose-Response Relationship, Drug Double-Blind Method Humans Female Dietary Fats Diglycerides alpha-Linolenic Acid Postprandial Period Cross-Over Studies Triglycerides
View on PubMed DOI
Popular Topics
Recent Journals