AIMC Topic:
Bayes Theorem

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Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern ...
Adult Male Middle Aged China Female Aged Aged, 80 and over Bayes Theorem Ethnicity Linear Models Skull Imaging, Three-Dimensional Image Processing, Computer-Assisted East Asian People Retrospective Studies Tomography, X-Ray Computed Humans Machine Learning Age Determination by Skeleton Forensic Anthropology Cranial Sutures
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Dissecting unique and common variance across body and brain health indicators using age prediction.

Human brain mapping Apr 15, 2024
Ageing is a heterogeneous multisystem process involving different rates of decline in physiological integrity across biological systems. The current study dissects the unique and common variance across body and brain health indicators and parses inte...
Gray Matter White Matter Magnetic Resonance Imaging Bayes Theorem Body Composition Humans Female Machine Learning Brain Aged Aged, 80 and over Adult Male Aging Middle Aged
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Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

Cancer medicine Apr 1, 2024
BACKGROUND: Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best-performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recent literatu...
Humans Female ROC Curve Biomarkers, Tumor Early Detection of Cancer Ovarian Neoplasms Case-Control Studies Bayes Theorem Deep Learning
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A Bayesian convolutional neural network-based generalized linear model.

Biometrics Mar 27, 2024
Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data. Although CNNs often outperform traditional statistical models in pred...
Malaria Linear Models Monte Carlo Method Humans Neural Networks, Computer Magnetic Resonance Imaging Bayes Theorem Algorithms Brain Neoplasms
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DSNetax: a deep learning species annotation method based on a deep-shallow parallel framework.

Briefings in bioinformatics Mar 27, 2024
Microbial community analysis is an important field to study the composition and function of microbial communities. Microbial species annotation is crucial to revealing microorganisms' complex ecological functions in environmental, ecological and host...
RNA, Ribosomal, 16S Bayes Theorem Microbiota Phylogeny Deep Learning Bacteria
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[Predicting the risk of becoming eligible for the disability pension: Machine learning methods applied to French health data].

Sante publique (Vandoeuvre-les-Nancy, France) Feb 23, 2024
INTRODUCTION: Benefiting from the disability pension implies morbid (physical and psychological) and social (fall in income) implications for the person. It also has economic consequences for society, with increasing expenses since 2011 (+4.9% on ave...
Pensions Artificial Intelligence Machine Learning Risk Factors Bayes Theorem Humans
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Sex estimation based on mandibular measurements.

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur Jan 25, 2024
Medical imaging and machine learning are beneficial approaches in physical and forensic anthropology. They are particularly useful for the development of models for sex identification based on bone remains. The present study uses machine learning alg...
Algorithms Female Adult Support Vector Machine Bayes Theorem Male Mandible Humans Neural Networks, Computer Sex Determination by Skeleton Eastern European People
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Prediction of Vancomycin-Associated Nephrotoxicity Based on the Area under the Concentration-Time Curve of Vancomycin: A Machine Learning Analysis.

Biological & pharmaceutical bulletin Jan 1, 2024
Several machine learning models have been proposed to predict vancomycin (VCM)-associated nephrotoxicity; however, they have notable limitations. Specifically, they do not use the area under the concentration-time curve (AUC) as recommended in the la...
Aged, 80 and over Drug Monitoring Retrospective Studies Area Under Curve Humans Adult Vancomycin Female Bayes Theorem Machine Learning Male Aged Anti-Bacterial Agents Middle Aged Kidney Diseases
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Bayesian Neural Networks in Predictive Neurosurgery.

Advances in experimental medicine and biology Jan 1, 2024
"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neura...
Neural Networks, Computer Prognosis Bayes Theorem Neurosurgery Humans
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Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...
Coronary Artery Disease Deep Learning Support Vector Machine Bayes Theorem Algorithms Female Male Middle Aged Humans Neural Networks, Computer Machine Learning
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