AIMC Topic: Bayes Theorem

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Designing optimal behavioral experiments using machine learning.

eLife Jan 23, 2024
Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely and offer predictions that can be subtle and often counter-intuitive. However, this same richness and abili...
Bayes Theorem Machine Learning Awareness Humans Computer Simulation Cognition
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Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

Frontiers in public health Jan 15, 2024
INTRODUCTION: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a p...
Diabetes Mellitus Adult Chronic Disease Humans Myocardial Infarction Blood Glucose Lung Diseases Machine Learning Adverse Childhood Experiences Bayes Theorem
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Compositional diversity in visual concept learning.

Cognition Jan 14, 2024
Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts can combine together to form novel objects. In contrast, popular computer vision models struggle to make the same types of inferences, requiring more...
Spatial Learning Concept Formation Generalization, Psychological Neural Networks, Computer Bayes Theorem Humans
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An artificial intelligence approach to predict infants' health status at birth.

International journal of medical informatics Jan 5, 2024
BACKGROUND: Machine learning could be used for prognosis/diagnosis of maternal and neonates' diseases by analyzing the data sets and profiles obtained from a pregnant mother.
Bayes Theorem Infant, Newborn Health Status Artificial Intelligence Machine Learning Pregnancy Female Algorithms Humans
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Divorce prediction using machine learning algorithms in Ha'il region, KSA.

Scientific reports Jan 4, 2024
The application of artificial intelligence (AI) in predictive analytics is growing in popularity. It has the power to offer ground-breaking solutions for a range of social problems and real world societal difficulties. It is helpful in addressing som...
Humans Artificial Intelligence Bayes Theorem Divorce Machine Learning Algorithms
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Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types.

International journal of injury control and safety promotion Jan 2, 2024
Construction workers face a high risk of various occupational accidents, many of which can result in fatalities. This study aims to develop a prediction model for nine prevalent types of construction accidents, utilizing construction tasks, activitie...
Humans Bayes Theorem Machine Learning Data Mining Algorithms Republic of Korea Construction Industry Accidents, Occupational
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Detection of Chylous Plasma Based on Machine Learning and Hyperspectral Techniques.

Applied spectroscopy Jan 2, 2024
Chylous blood is the main cause of unqualified and scrapped blood among volunteer blood donors. Therefore, a diagnostic method that can quickly and accurately identify chylous blood before donation is needed. In this study, the GaiaSorter "Gaia" hype...
Humans Bayes Theorem Algorithms Neural Networks, Computer Support Vector Machine Machine Learning
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Estimating speaker direction on a humanoid robot with binaural acoustic signals.

PloS one Jan 2, 2024
To achieve human-like behaviour during speech interactions, it is necessary for a humanoid robot to estimate the location of a human talker. Here, we present a method to optimize the parameters used for the direction of arrival (DOA) estimation, whil...
Sound Localization Gravitation Humans Bayes Theorem Acoustics Robotics
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Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 27, 2023
OBJECTIVES: This study aimed to develop machine learning models to predict phosphorylated mesenchymal-epithelial transition factor (p-MET) expression in oral tongue squamous cell carcinoma (OTSCC) using magnetic resonance imaging (MRI)-derived textur...
Bayes Theorem Tongue Neoplasms Machine Learning Retrospective Studies Humans Head and Neck Neoplasms Reproducibility of Results Squamous Cell Carcinoma of Head and Neck Carcinoma, Squamous Cell Magnetic Resonance Imaging Pilot Projects
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Leveraging machine learning to distinguish between bacterial and viral induced pharyngitis using hematological markers: a retrospective cohort study.

Scientific reports Dec 21, 2023
Accurate differentiation between bacterial and viral-induced pharyngitis is recognized as essential for personalized treatment and judicious antibiotic use. From a cohort of 693 patients with pharyngitis, data from 197 individuals clearly diagnosed w...
Algorithms Anti-Bacterial Agents Support Vector Machine Bayes Theorem Retrospective Studies Humans Machine Learning Virus Diseases
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