AIMC Topic: Bayes Theorem

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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes.

Scientific reports Jul 4, 2025
Maternal mental health during pregnancy is a crucial area of research due to its profound impact on both maternal and child well-being. This paper proposes a comprehensive approach to predicting and monitoring psychological health risks in pregnant w...
Young Adult Humans Adult Mental Health Machine Learning Pregnancy Outcome Pregnancy Female Support Vector Machine Maternal Health Bayes Theorem Yoga
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Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data.

Scientific reports Jul 3, 2025
Basketball remains among the most globally popular sports, with its various competitions drawing substantial attention. The analysis and modeling of basketball game data have long been central topics in sports analytics. In recent years, integrating ...
Male China Support Vector Machine East Asian People Humans Machine Learning Algorithms Bayes Theorem Athletic Performance Basketball
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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...
Algorithms Retrospective Studies Pregnancy Female Humans Machine Learning ROC Curve Decision Support Systems, Clinical Logistic Models Support Vector Machine Cesarean Section Young Adult Adult Cross-Sectional Studies Bayes Theorem Ghana Hospitals, District
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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...
Gait Analysis Male Anxiety Anxiety Disorders Depression Support Vector Machine Bayes Theorem Gait Female Young Adult Adult Humans Biomechanical Phenomena Machine Learning
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The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules.

BMC cancer Jul 1, 2025
BACKGROUND AND AIMS: More cases of thyroid micro-nodules have been diagnosed annually in recent years because of advancements in diagnostic technologies and increased public health awareness. To explore the application value of various machine learni...
Bayes Theorem Thyroid Nodule ROC Curve Support Vector Machine Diagnosis, Differential Male Middle Aged Thyroid Neoplasms Tomography, X-Ray Computed Female Aged Humans Adult Machine Learning Algorithms
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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...
Humans Animals Global Health Disease Outbreaks Bayes Theorem Chiroptera Zoonoses Rodentia Communicable Diseases, Emerging
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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...
Adult Male Middle Aged Early Warning Score Logistic Models Denmark Humans Machine Learning Emergency Medical Services Female Triage Aged Bayes Theorem Aged, 80 and over
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Robust Lightweight Graph Neural Network Framework for Accelerating Crystal Structure Prediction.

Journal of chemical information and modeling Jun 30, 2025
This work presents a crystal structure prediction framework that employs a structural search using a derivative-free optimization method, with a supervised Graph Neural Network (GNN) model as the energy evaluator. We address the limitations of existi...
Models, Molecular Bayes Theorem Crystallography, X-Ray Graph Neural Networks Neural Networks, Computer
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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...
Decision Making Humans Bayes Theorem Machine Learning Internet Commerce Algorithms Consumer Behavior Support Vector Machine
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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...
Decision Trees Adult Hepacivirus Humans Area Under Curve Male Hepatitis C Machine Learning Middle Aged Bayes Theorem Early Diagnosis Female Support Vector Machine
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