AIMC Topic: Machine Learning

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Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review.

BMC medical informatics and decision making Jul 29, 2025
INTRODUCTION: The use of machine learning (ML) in intensive care units (ICUs) has led to a large yet fragmented body of literature. It is imperative to conduct a systematic analysis and synthesis of this research to identify methodological trends, cl...
Biomedical Research Humans Bayes Theorem Machine Learning Intensive Care Units
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Developing and validating machine learning models to predict next-day extubation.

Scientific reports Jul 29, 2025
Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imprecise, often resulting in prolonged MV or reintubation, both of which are associated with adverse outcomes. Daily protocol-driven assessment of the n...
Prospective Studies Humans Machine Learning Intensive Care Units Airway Extubation Female Aged Ventilator Weaning Male Middle Aged Respiration, Artificial
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Intelligent routing for human activity recognition in wireless body area networks.

Scientific reports Jul 29, 2025
Human activity recognition (HAR), driven by machine learning techniques, offer the detection of diverse activities such as walking, running, and more. Considering the dynamic nature, limited energy and mobility of wireless body area networks (WBANs),...
Machine Learning Algorithms Walking Human Activities Humans Wireless Technology
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Classifying social and physical pain from multimodal physiological signals using machine learning.

Scientific reports Jul 29, 2025
Accurate pain assessment is essential for effective management; however, most studies have focused on differentiating pain from non-pain or estimating pain intensity rather than distinguishing between distinct pain types. We present a machine learnin...
Pain Electrocardiography Support Vector Machine Pain Measurement Female Young Adult Humans Adult Machine Learning Male
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COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors.

BMC public health Jul 29, 2025
BACKGROUND: The COVID-19 pandemic highlighted the need to understand factors influencing individuals' risk perceptions and health behaviors. This study aimed to explore the roles of individuals' knowledge, perception, and health-related issues in det...
Female SARS-CoV-2 Risk Factors Aged Aged, 80 and over Male Middle Aged Humans Machine Learning COVID-19 Risk Assessment Health Knowledge, Attitudes, Practice Cluster Analysis
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The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data.

BMC cancer Jul 29, 2025
BACKGROUND: Obesity is a known risk factor for breast cancer (BC), but conventional metrics such as body mass index (BMI) may insufficiently capture central adiposity. The weight-adjusted waist index (WWI) has emerged as a potentially superior anthro...
Obesity Body Weight Waist Circumference Nutrition Surveys United States Body Mass Index Aged Humans Young Adult Cross-Sectional Studies Adult Machine Learning Middle Aged Breast Neoplasms Female Prevalence Risk Factors ROC Curve
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Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Scientific reports Jul 29, 2025
Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual responses vary, necessitating personalized treatment strategies. Conventional approaches prioritize treating high-risk patients, but advancements in m...
Propensity Score Treatment Outcome Japan Hydroxymethylglutaryl-CoA Reductase Inhibitors Machine Learning Databases, Factual Female Aged Male Cardiovascular Diseases Middle Aged Humans
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An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Scientific reports Jul 29, 2025
Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying mortality among hemodialysis patients is paramount importance, as it enables the formulation of tailored interventions and facilitates timely managem...
Humans Neural Networks, Computer Artificial Intelligence Aged Male Middle Aged Renal Dialysis Machine Learning Retrospective Studies Female Kidney Failure, Chronic ROC Curve Logistic Models Support Vector Machine
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Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data.

Scientific reports Jul 29, 2025
The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases remain undiagnosed. Advanced artificial intelligence models using multi-modal data have shown promise in disease prediction, but two major challenges...
Republic of Korea Female Male Middle Aged Diabetes Mellitus, Type 2 Humans Artificial Intelligence Machine Learning
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Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia.

Nature communications Jul 29, 2025
Despite the critical role of DNA methylation, clinical implementations harnessing its promise have not been described in acute myeloid leukemia. Utilizing DNA methylation from 3314 leukemia patient samples across 11 harmonized cohorts, we describe th...
Adult Leukemia, Myeloid, Acute Male Middle Aged Prognosis Female Young Adult Epigenesis, Genetic Epigenomics DNA Methylation CpG Islands Adolescent Humans Cohort Studies Machine Learning Child, Preschool Child
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