AIMC Topic: Machine Learning

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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jul 21, 2025
BACKGROUND: The rise of federated learning (FL) as a novel privacy-preserving technology offers the potential to create models collaboratively in a decentralized manner to address confidentiality issues, particularly regarding data privacy. However, ...
Humans Federated Learning Machine Learning Mortality
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Prevalence of malnutrition and associated factors in Chinese children and adolescents aged 3-14 years using machine learning algorithms.

Journal of global health Jul 21, 2025
BACKGROUND: Child malnutrition represents a critical global public health issue and it is characterised by high prevalence and severe long-term consequences for growth and development. A better understanding of its contributory factors is essential t...
Humans Machine Learning Algorithms Child, Preschool Child Prevalence East Asian People China Adolescent Female Child Nutrition Disorders Risk Factors Male
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Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

Journal of global health Jul 21, 2025
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big data to analyse clinical information combined with external sources. Machine learning, a subset of AI, uses algorithms trained on data to generate pre...
Male Brazil Infant Adolescent Forecasting Female Air Pollution Artificial Intelligence Hospitalization Humans Child, Preschool Hospitals, Pediatric Machine Learning Climate Child Emergency Service, Hospital Respiratory Tract Diseases
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Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations.

PloS one Jul 21, 2025
The Baltic Dry Index (BDI) is a critical benchmark for assessing freight rates and chartering activity in the global shipping market. This study forecasts the BDI using diverse financial data, including commodities, currencies, stock markets, and vol...
Forecasting Humans Hong Kong United States Machine Learning Models, Economic Commerce
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An illustration of multi-class roc analysis for predicting internet addiction among university students.

PloS one Jul 21, 2025
The internet is one of the essential tools today, and its impact is particularly felt among university students. Internet addiction (IA) has become a serious public health issue worldwide. This multi-class classification study aimed to identify the p...
Adult Humans Cross-Sectional Studies Bangladesh Machine Learning Male Adolescent Universities Students COVID-19 Internet Addiction Disorder ROC Curve Support Vector Machine Prevalence Female Surveys and Questionnaires Young Adult
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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PloS one Jul 21, 2025
The dynamical growth of cyber threats in IoT setting requires smart and scalable intrusion detection systems. In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select ...
Computer Security Ensemble Learning Machine Learning Algorithms Internet of Things Humans
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning.

PloS one Jul 21, 2025
This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emitting radionuclides (241Am, 249Cf, 252Cf, 238Pu, 239Pu, 224Ra, 226Ra, 228Th) on 2,576 dogs, factoring in radioactivity levels, composition, administra...
Machine Learning Male Radioisotopes Dogs Alpha Particles Female Animals
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Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.

PloS one Jul 21, 2025
Chloride channel accessory 1 (CLCA1) is considered a potential prognostic biomarker for colon adenocarcinoma (COAD). The objective of this research was to develop two pathomics models to predict CLCA1 expression from hematoxylin-eosin (H&E) stained p...
Chloride Channels Biomarkers, Tumor Male Machine Learning Middle Aged Humans Female Prognosis Gene Expression Profiling Adenocarcinoma Aged Gene Expression Regulation, Neoplastic Colonic Neoplasms
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Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning.

PloS one Jul 21, 2025
Diabetic kidney disease (DKD) is a major cause of end-stage renal disease globally, with podocytes being implicated in its pathogenesis. However, the underlying mechanisms of podocyte involvement remain unclear. The aim of the present study was to id...
Middle Aged Single-Cell Analysis Diabetic Nephropathies Sequence Analysis, RNA Podocytes Biomarkers Humans Female Machine Learning Male
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Analysis of aPTT predictors after unfractionated heparin administration in intensive care units using machine learning models.

PloS one Jul 21, 2025
OBJECTIVES: Predicting optimal coagulation control using heparin in intensive care units (ICUs) remains a significant challenge. This study aimed to develop a machine learning (ML) model to predict activated partial thromboplastin time (aPTT) in ICU ...
Male Middle Aged ROC Curve Intensive Care Units Female Aged Partial Thromboplastin Time Heparin Anticoagulants Japan Humans Machine Learning
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