AIMC Topic:
Bayes Theorem

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Synthetic Data Improve Survival Status Prediction Models in Early-Onset Colorectal Cancer.

JCO clinical cancer informatics Jan 1, 2024
PURPOSE: In artificial intelligence-based modeling, working with a limited number of patient groups is challenging. This retrospective study aimed to evaluate whether applying synthetic data generation methods to the clinical data of small patient gr...
Artificial Intelligence Retrospective Studies Humans Hospitals Bayes Theorem Colorectal Neoplasms
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Multimodal feature fusion in deep learning for comprehensive dental condition classification.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Dental health issues are on the rise, necessitating prompt and precise diagnosis. Automated dental condition classification can support this need.
Bayes Theorem Deep Learning Support Vector Machine Humans Neural Networks, Computer Machine Learning Algorithms
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Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning.

Journal of biosciences Jan 1, 2024
Abiotic stresses are major limiting factors for maize growth. Therefore, exploration of the mechanisms underlying the response to abiotic stress in maize is of great interest. Toward this end, we performed integration of the feature selection method ...
Machine Learning Biomarkers Zea mays Bayes Theorem Stress, Physiological
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Bayesian Approaches in Exploring Gene-environment and Gene-gene Interactions: A Comprehensive Review.

Cancer genomics & proteomics Dec 1, 2023
Rapid advancements in high-throughput biological techniques have facilitated the generation of high-dimensional omics datasets, which have provided a solid foundation for precision medicine and prognosis prediction. Nonetheless, the problem of missin...
Machine Learning Polymorphism, Single Nucleotide Humans Bayes Theorem
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Fusang: a framework for phylogenetic tree inference via deep learning.

Nucleic acids research Nov 10, 2023
Phylogenetic tree inference is a classic fundamental task in evolutionary biology that entails inferring the evolutionary relationship of targets based on multiple sequence alignment (MSA). Maximum likelihood (ML) and Bayesian inference (BI) methods ...
Deep Learning Bayes Theorem Likelihood Functions Sequence Alignment Algorithms Phylogeny
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[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Nov 6, 2023
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter stu...
Blood Cell Count Machine Learning Depression Support Vector Machine Bayes Theorem Humans
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[Development of auxiliary early predicting model for human brucellosis using machine learning algorithm].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Oct 6, 2023
Using machine learning algorithms to construct an early prediction model of brucellosis to improve the diagnosis efficiency of Brucellosis. This study was a case-control study. 2 381 brucellosis patients from Beijing Ditan Hospital affiliated to Capi...
Machine Learning Algorithms Retrospective Studies Male Humans Bayes Theorem Case-Control Studies
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User-Centered Configuration of Soft Hip Flexion Exosuit Designs to Assist Individuals with Multiple Sclerosis Through Simulated Human-in-the-Loop Optimization.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sep 1, 2023
Soft exosuits hold promise as assistive technology for people with gait deficits owing to a variety of causes. A key aspect of providing useful assistance is to keep the human user at the center of all considerations made in the design, configuration...
Multiple Sclerosis Exoskeleton Device Walking Humans Robotics Bayes Theorem
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ComBat Harmonization for MRI Radiomics: Impact on Nonbinary Tissue Classification by Machine Learning.

Investigative radiology Sep 1, 2023
OBJECTIVES: The aims of this study were to determine whether ComBat harmonization improves multiclass radiomics-based tissue classification in technically heterogeneous MRI data sets and to compare the performances of 2 ComBat variants.
Bayes Theorem Magnetic Resonance Imaging Machine Learning Retrospective Studies Humans Neural Networks, Computer
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Bayesian multitask learning for medicine recommendation based on online patient reviews.

Bioinformatics (Oxford, England) Aug 1, 2023
MOTIVATION: We propose a drug recommendation model that integrates information from both structured data (patient demographic information) and unstructured texts (patient reviews). It is based on multitask learning to predict review ratings of severa...
Pharmaceutical Preparations Machine Learning Humans Bayes Theorem
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