AIMC Topic: Bayes Theorem

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Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.

Systematic reviews Jun 20, 2023
BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact...
Bayes Theorem Software Systematic Reviews as Topic Computer Simulation Humans Machine Learning
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Prediction of posttraumatic functional recovery in middle-aged and older patients through dynamic ensemble selection modeling.

Frontiers in public health Jun 20, 2023
INTRODUCTION: Age-specific risk factors may delay posttraumatic functional recovery; complex interactions exist between these factors. In this study, we investigated the prediction ability of machine learning models for posttraumatic (6 months) funct...
Risk Factors Algorithms Aged Humans Middle Aged Prognosis Machine Learning Bayes Theorem
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Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial.

International journal of environmental research and public health Jun 19, 2023
Medical interviews are expected to undergo a major transformation through the use of artificial intelligence. However, artificial intelligence-based systems that support medical interviews are not yet widespread in Japan, and their usefulness is uncl...
Physicians Bayes Theorem Japan Humans Artificial Intelligence
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Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.

Sensors (Basel, Switzerland) Jun 14, 2023
This paper presents a novel, autonomous learning system working in real-time for face recognition. Multiple convolutional neural networks for face recognition tasks are available; however, these networks need training data and a relatively long train...
Algorithms Bayes Theorem Neural Networks, Computer Machine Learning Humans
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Probabilistic real-time natural gas jet fire consequence modeling of offshore platforms by hybrid deep learning approach.

Marine pollution bulletin Jun 7, 2023
Natural gas jet fire induced by igniting blowouts has the potential to cause critical structure damage and great casualties of offshore platforms. Real-time natural gas jet fire plume prediction is essential to support the emergency planning to mitig...
Deep Learning Fires Bayes Theorem Natural Gas
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Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies.

Journal of cancer research and clinical oncology Jun 6, 2023
BACKGROUND: Breast cancer is a major public health concern, and early diagnosis and classification are critical for effective treatment. Machine learning and deep learning techniques have shown great promise in the classification and diagnosis of bre...
Humans Machine Learning Deep Learning Mammography Bayes Theorem Female Breast Neoplasms
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DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Genomic selection (GS) is expected to accelerate plant and animal breeding. During the last decade, genome-wide polymorphism data have increased, which has raised concerns about storage cost and computational time. Several individual studies have att...
Models, Genetic Bayes Theorem Oryza Polymorphism, Single Nucleotide Genotype Deep Learning Phenotype Genomics Animals
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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies.

Journal of medical Internet research May 31, 2023
BACKGROUND: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse...
Birth Weight Benchmarking Infant Machine Learning Bayes Theorem Humans Pregnancy Infant, Newborn Female Risk Factors
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The effect of seasonality in predicting the level of crime. A spatial perspective.

PloS one May 31, 2023
This paper presents an innovative methodology to study the application of seasonality (the existence of cyclical patterns) to help predict the level of crime. This methodology combines the simplicity of entropy-based metrics that describe temporal pa...
Support Vector Machine Bayes Theorem Machine Learning Algorithms Supervised Machine Learning
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Motor decoding from the posterior parietal cortex using deep neural networks.

Journal of neural engineering May 19, 2023
Motor decoding is crucial to translate the neural activity for brain-computer interfaces (BCIs) and provides information on how motor states are encoded in the brain. Deep neural networks (DNNs) are emerging as promising neural decoders. Nevertheless...
Humans Movement Neurons Animals Neural Networks, Computer Brain-Computer Interfaces Parietal Lobe Macaca fascicularis Bayes Theorem
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