AIMC Topic: Bayes Theorem

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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 Bayes Theorem Humans Machine Learning Intensive Care Units
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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data.

PloS one Jul 29, 2025
Clinical gait analysis (CGA) has historically relied on clinician experience and judgment, leading to modest, stagnant, and unpredictable outcomes. This paper introduces Evidence-Based Gait Analysis Interpretation Tools (EB-GAIT), a novel framework l...
Humans Bayes Theorem Gait Gait Analysis Machine Learning Clinical Decision-Making Treatment Outcome
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Bayesian mediation analysis using patient-reported outcomes from AI chatbots to infer causal pathways in clinical trials.

PloS one Jul 24, 2025
The integration of artificial intelligence (AI) chatbots into clinical trials offers a transformative approach to collecting patient-reported outcomes (PROs). Despite the increasing use of AI chatbots for real-time, interactive data gathering, system...
Artificial Intelligence Generative Artificial Intelligence Bayes Theorem Patient Reported Outcome Measures Clinical Trials as Topic Humans Mediation Analysis
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Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

Scientific reports Jul 23, 2025
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po...
Machine Learning Algorithms Precision Medicine Humans Male Middle Aged Decision Support Systems, Clinical Electronic Health Records Female Aged Bayes Theorem Drug Prescriptions Diabetes Mellitus, Type 2 United States Hypoglycemic Agents
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Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm.

Scientific reports Jul 17, 2025
Athletic person's fatigue and stamina prediction plays a vital role for improving the overall performance in the sports. Identification of the athletic person's facial expression on track and field using image, is still a challenge task. The complex ...
Facial Expression Fatigue Biomarkers Female Male Bayes Theorem Athletes Face Humans Machine Learning Algorithms
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Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial.

JMIR dermatology Jul 16, 2025
BACKGROUND: Acne vulgaris (AV) is one of the most common skin disorders, with a peak incidence in adolescence and early adulthood. Topical treatments are usually used for mild to moderate AV; however, a lack of adherence to topical treatment is seen ...
Dermatologic Agents Skin Care Humans Severity of Illness Index Adult Adolescent Male Treatment Outcome Machine Learning Bayes Theorem Quality of Life Female Young Adult Single-Blind Method Acne Vulgaris
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An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity.

Scientific reports Jul 9, 2025
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public. This Knowledge is crucial for enhancing road safety and reducing congestion, as differe...
Risk Assessment Bayes Theorem Accidents, Traffic Wounds and Injuries Female Humans Trauma Severity Indices Adult Machine Learning Male
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study.

Scientific reports Jul 8, 2025
The precise diagnosis of heart disease represents a significant obstacle within the medical field, demanding the implementation of advanced diagnostic instruments and methodologies. This article conducts an extensive examination of the efficacy of di...
Support Vector Machine Bayes Theorem Heart Diseases Humans Neural Networks, Computer Algorithms Machine Learning Diagnosis, Computer-Assisted Deep Learning
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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.

PloS one Jul 8, 2025
BACKGROUND: Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. While machine learn...
Iran Bayes Theorem Humans Accidents, Traffic Machine Learning Weather Big Data
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Multi-task genomic prediction using gated residual variable selection neural networks.

BMC bioinformatics Jul 7, 2025
BACKGROUND: The recent development of high-throughput sequencing techniques provide massive data that can be used in genome-wide prediction (GWP). Although GWP is effective on its own, the incorporation of traditional polygenic pedigree information i...
Models, Genetic Swine Neural Networks, Computer Bayes Theorem Animals Mice Pedigree Genomics
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