AIMC Topic: Bayes Theorem

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A rapid method for assessing seed drought resistance using integrated ID-BOA-SVM.

Analytical methods : advancing methods and applications Dec 5, 2024
This study investigates the application of near-infrared spectroscopy (NIR) for assessing drought resistance in seeds, aiming to offer a rapid and efficient method suitable for large-scale primary screening. NIR spectroscopy is utilized to analyze fo...
Spectroscopy, Near-Infrared Droughts Drought Resistance Water Support Vector Machine Seeds Bayes Theorem Zea mays
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Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering...
Algorithms Deep Learning Cluster Analysis Bayes Theorem Normal Distribution Autoencoder Humans Neural Networks, Computer
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Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model.

CPT: pharmacometrics & systems pharmacology Dec 4, 2024
The pharmaceutical industry has increasingly adopted model-informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and ...
Humans Drug Development Bayes Theorem Machine Learning Computer Simulation Drug Discovery
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Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China.

BMC pregnancy and childbirth Dec 4, 2024
BACKGROUND: Preterm birth (PTB) is a significant cause of neonatal mortality and long-term health issues. Accurate prediction and timely prevention of PTB are essential for reducing associated child mortality and morbidity. Traditional predictive met...
Logistic Models Bayes Theorem Child, Preschool ROC Curve Premature Birth Risk Factors Adult Male China Surveys and Questionnaires Pregnancy Female Infant, Newborn Humans Machine Learning
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A fact based analysis of decision trees for improving reliability in cloud computing.

PloS one Dec 3, 2024
The popularity of cloud computing (CC) has increased significantly in recent years due to its cost-effectiveness and simplified resource allocation. Owing to the exponential rise of cloud computing in the past decade, many corporations and businesses...
Bayes Theorem Cloud Computing Reproducibility of Results Machine Learning Deep Learning Algorithms Decision Trees
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A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults.

Computers, informatics, nursing : CIN Dec 1, 2024
Fall is a common adverse event among older adults. This study aimed to identify essential fall factors and develop a machine learning-based prediction model to predict the fall risk category among community-dwelling older adults, leading to earlier i...
Male Humans Bayes Theorem Machine Learning Probability Risk Assessment Aged Female Accidental Falls Independent Living China Aged, 80 and over Risk Factors Logistic Models East Asian People
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Neural network procedures for the cholera disease system with public health mediations.

Computers in biology and medicine Nov 30, 2024
Severe gastrointestinal infections and watery diseases like cholera are still a major worldwide medical concern in the developing nations. A mathematical system contains some necessary dynamics based on the cholera spread to investigate the influence...
Cholera Humans Neural Networks, Computer Public Health Bayes Theorem
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Artificial intelligence facial recognition of obstructive sleep apnea: a Bayesian meta-analysis.

Sleep & breathing = Schlaf & Atmung Nov 30, 2024
PURPOSE: Conventional obstructive sleep apnea (OSA) diagnosis via polysomnography can be costly and inaccessible. Recent advances in artificial intelligence (AI) have enabled the use of craniofacial photographs to diagnose OSA. This meta-analysis aim...
Artificial Intelligence Bayes Theorem Sleep Apnea, Obstructive Humans Automated Facial Recognition Polysomnography
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Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis.

JMIR medical informatics Nov 29, 2024
BACKGROUND: Social media platforms allow individuals to openly gather, communicate, and share information about their interactions with health care services, becoming an essential supplemental means of understanding patient experience.
Patient Satisfaction Machine Learning Social Media Bayes Theorem Humans
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Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations.

Scientific reports Nov 28, 2024
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit (ICU) for non-neurological conditions, leading to increased mortality and prolonged hospital stays. The incidence of stroke in ICU settings is notabl...
Intensive Care Units Female Aged Aged, 80 and over Male Middle Aged Machine Learning Algorithms Retrospective Studies Stroke ROC Curve Humans Bayes Theorem
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