AIMC Topic: Malnutrition
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A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.
Clinical nutrition (Edinburgh, Scotland)
Jul 3, 2021
BACKGROUND AND AIMS: Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This s...
Machine learning algorithms for predicting malnutrition among under-five children in Bangladesh.
Nutrition (Burbank, Los Angeles County, Calif.)
May 15, 2020
OBJECTIVE: The aim of this study was is to predict malnutrition status in under-five children in Bangladesh by using various machine learning (ML) algorithms.
Machine learning models for predicting malnutrition in NICU patients: A comprehensive benchmarking study.
Computers in biology and medicine
Jun 1, 2025
Malnutrition, affecting both adults and children globally, results from inadequate nutrient intake or loss of body mass. Traditional screening tools, reliant on detailed questionnaires, are costly, time-consuming, and often lack accuracy and generali...
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...
Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.
Nutrients
May 13, 2025
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increased mortality, or prolonged hospitalizations with complications and higher costs during the recovery p...
Artificial Intelligence-Assisted Muscular Ultrasonography for Assessing Inflammation and Muscle Mass in Patients at Risk of Malnutrition.
Nutrients
May 9, 2025
BACKGROUND: Malnutrition, influenced by inflammation, is associated with muscle depletion and body composition changes. This study aimed to evaluate muscle mass and quality using Artificial Intelligence (AI)-enhanced ultrasonography in patients with ...
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...
Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators.
PloS one
Jan 1, 2025
OBJECTIVES: Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan government has been collecting clinical indica...
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