AIMC Topic: Bayes Theorem

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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Female Cesarean Section Young Adult Adult Algorithms Retrospective Studies Pregnancy Support Vector Machine Bayes Theorem Ghana Hospitals, District Cross-Sectional Studies ROC Curve Decision Support Systems, Clinical Logistic Models Humans Machine Learning
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Humans Anxiety Disorders Adult Depression Biomechanical Phenomena Support Vector Machine Bayes Theorem Male Gait Anxiety Gait Analysis Machine Learning Female Young Adult
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Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.

Scientific reports Jul 1, 2025
Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne pathogens being among the prime candidates. To improve preparedness and prevention strategies, we predicted the global distribution of bat- and rodent...
Animals Global Health Disease Outbreaks Bayes Theorem Chiroptera Zoonoses Rodentia Communicable Diseases, Emerging Humans
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Machine learning to improve predictive performance of prehospital early warning scores.

Scientific reports Jul 1, 2025
Early warning scores are used to assess acute patients' risk of being in a critical situation, allowing for early appropriate treatment, avoiding critical outcomes. The early warning scores use changes in vital signs to provide an assessment, however...
Aged Aged, 80 and over Adult Male Humans Machine Learning Female Triage Bayes Theorem Early Warning Score Middle Aged Logistic Models Denmark Emergency Medical Services
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Internet Consumer Behavior Commerce Support Vector Machine Decision Making Bayes Theorem Humans Machine Learning Algorithms
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Humans Area Under Curve Bayes Theorem Hepacivirus Hepatitis C Early Diagnosis Male Middle Aged Support Vector Machine Machine Learning Decision Trees Female Adult
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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typically using generic knowledge-based systems or predictive artificial intelligence (AI). However, predi...
Female Adult Markov Chains Mental Health Humans Middle Aged Male Artificial Intelligence Surveys and Questionnaires Mobile Applications Bayes Theorem
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Bayes Theorem Radar Image Processing, Computer-Assisted Automobiles Humans Diagnostic Imaging Algorithms Deep Learning
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Heart Disease Risk Factors Male Cardiovascular Diseases Middle Aged Risk Assessment Female Humans Support Vector Machine Risk Factors Machine Learning Malaysia Aged Algorithms Bayes Theorem Adult
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Algorithms Female Male Decision Trees Bayes Theorem Data Mining Coronary Disease Humans Machine Learning
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