AIMC Topic: Nutrition Assessment
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Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study.
BMC cancer
May 20, 2025
BACKGROUND: Malnutrition is common in cancer patients and worsens treatment and prognosis. The Patient-Generated Subjective Global Assessment (PG-SGA) is the best tool to evaluate malnutrition, but it is complicated has limited its routine clinical u...
Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.
Brain and behavior
May 1, 2025
PURPOSE: Malnutrition remains a critical public health issue in low-income countries, significantly hindering economic development and contributing to over 50% of infant deaths. Under nutrition weakens immune systems, increasing susceptibility to com...
Role of artificial intelligence in predicting disease-related malnutrition - A narrative review.
Nutricion hospitalaria
Apr 21, 2025
Background: disease-related malnutrition (DRM) affects 30-50 % of hospitalized patients and is often underdiagnosed, increasing risks of complications and healthcare costs. Traditional DRM detection has relied on manual methods that lack accuracy and...
Impact of Hydroxy-Methyl-Butyrate Supplementation on Malnourished Patients Assessed Using AI-Enhanced Ultrasound Imaging.
Journal of cachexia, sarcopenia and muscle
Feb 1, 2025
BACKGROUND: This study aimed to evaluate the effects of an oral nutritional supplement (ONS) enriched with hydroxy-methyl-butyrate (HMB) in subjects with disease-related malnutrition (DRM) and to monitor these effects with an ultrasound Imaging Syste...
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.
Studies in health technology and informatics
Apr 26, 2024
BACKGROUND: Malnutrition in hospitalised patients can lead to serious complications, worse patient outcomes and longer hospital stays. State-of-the-art screening methods rely on scores, which need additional manual assessments causing higher workload...
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate nutrient intake have been developed, there is still a clear demand for ...
PERSON-Personalized Expert Recommendation System for Optimized Nutrition.
IEEE transactions on biomedical circuits and systems
Feb 1, 2018
The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mature to provide personalized food suggestion to consumers for daily usage. The main barrier of connec...
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.
IEEE journal of biomedical and health informatics
Jan 1, 2018
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...
Reasoning and Data Representation in a Health and Lifestyle Support System.
Studies in health technology and informatics
Jan 1, 2017
Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to...
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