AIMC Topic: Nutritional Status
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Undesired nexus poor health status of child under-five: A case study of Pakistan.
PloS one
May 30, 2025
Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, child mortality remains a serious problem despite efforts to reduce it. One factor that may be associa...
Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients-Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN).
Nutrients
Apr 18, 2025
: Cancer and related treatments can impair body composition (BC), increasing the risk of malnutrition and sarcopenia, poor prognosis, and Health-Related Quality of Life (HRQoL). To enhance BC parameter interpretation through Bioelectrical Impedance A...
Nutritional predictors of lymphatic filariasis progression: Insights from a machine learning approach.
PloS one
Mar 26, 2025
Lymphatic filariasis (LF) is a mosquito-borne neglected tropical disease that causes disfiguring of the affected extremities, often leading to permanent disability and stigma. Described as a disease of poverty, the impact of socioeconomic indicators ...
Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.
European journal of gastroenterology & hepatology
Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Humans
Machine Learning
Prognosis
Retrospective Studies
Tomography, X-Ray Computed
Nutrition Assessment
Postoperative Complications
Neoplasm Recurrence, Local
Bilirubin
Hepatectomy
Female
Aged
Survival Rate
Male
Middle Aged
Serum Albumin
Cholangiocarcinoma
Subcutaneous Fat
Bile Duct Neoplasms
Nutritional Status
Preoperative Period
Intra-Abdominal Fat
Machine Learning Analysis of Nutrient Associations with Peripheral Arterial Disease: Insights from NHANES 1999-2004.
Annals of vascular surgery
Jan 30, 2025
BACKGROUND: Peripheral arterial disease (PAD) is a common manifestation of atherosclerosis, affecting over 200 million people worldwide. The incidence of PAD is increasing due to the aging population. Common risk factors include smoking, diabetes, an...
Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms.
PloS one
Jan 24, 2025
BACKGROUND: Stunting is a vital indicator of chronic undernutrition that reveals a failure to reach linear growth. Investigating growth and nutrition status during adolescence, in addition to infancy and childhood is very crucial. However, the availa...
Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.
BMC cardiovascular disorders
Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Humans
Inflammation
Treatment Outcome
Decision Trees
Aged
Myocardial Infarction
Decision Support Techniques
Predictive Value of Tests
Male
Neural Networks, Computer
Inflammation Mediators
Biomarkers
Percutaneous Coronary Intervention
Middle Aged
Nutritional Status
Machine Learning
Female
Nutrition Assessment
Risk Factors
Risk Assessment
Investigation and Assessment of AI's Role in Nutrition-An Updated Narrative Review of the Evidence.
Nutrients
Jan 5, 2025
BACKGROUND: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in ...
A neural network integrated mathematical model to analyze the impact of nutritional status on cognitive development of child.
Computers in biology and medicine
Dec 9, 2024
Cognitive development is a crucial developmental aspect of children. It is a concise field of study in psychology and neuroscience that focuses on various developmental aspects of the brain. Among all other factors, nutritional status is believed to ...
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