AIMC Topic: Bayes Theorem

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Efficient structure learning of gene regulatory networks with Bayesian active learning.

BMC bioinformatics Jun 3, 2025
BACKGROUND: Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. Bayesian causal discovery provides a principled framework for modeling observational d...
Gene Regulatory Networks Humans Computational Biology Machine Learning Algorithms Bayes Theorem
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique.

Scientific reports Jun 3, 2025
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)-optimized via the Black Widow Optim...
Machine Learning Algorithms Anti-Inflammatory Agents, Non-Steroidal Bayes Theorem Solvents Carbon Dioxide Thermodynamics Solubility Niflumic Acid
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Predicting genetic merit in Harnali sheep using machine learning techniques.

Tropical animal health and production Jun 3, 2025
Machine learning techniques offer promising avenues for enhancing animal breeding programs by leveraging genomic and phenotypic data to predict valuable traits accurately. In this study, we evaluated seven machine learning algorithms viz., K-nearest ...
Sheep, Domestic Machine Learning Algorithms Bayes Theorem Female Breeding Phenotype Animals Pedigree Male
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Jun 2, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Aged Male Middle Aged Sepsis ROC Curve Logistic Models Acute Kidney Injury Intensive Care Units Female Humans Machine Learning Decision Trees Bayes Theorem Delirium
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Prediction of Lymph Node Metastasis in Non-Small Cell Lung Carcinoma Using Primary Tumor Somatic Mutation Data.

JCO clinical cancer informatics May 30, 2025
PURPOSE: Lymph node metastasis (LNM) significantly affects prognosis and treatment strategies in non-small cell lung cancer (NSCLC). Current diagnostic methods, including imaging and histopathology, have limited sensitivity and specificity. This stud...
Humans Bayes Theorem Mutation Aged Middle Aged Machine Learning Biomarkers, Tumor ROC Curve Prognosis Male Lung Neoplasms Female Polymorphism, Single Nucleotide Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis
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Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.

PloS one May 30, 2025
Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and diagnostic tools' severe limitations causing unnecessary, invasive biopsy procedures. While gas chromatography-mass spectrometry (GC-MS) has been use...
Neural Networks, Computer Machine Learning Animals Humans Dogs Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Smell Male Bayes Theorem Prostatic Neoplasms
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Geographic Information Systems Spatio-Temporal Analysis Incidence Humans Machine Learning Africa South of the Sahara Climate Change Cost of Illness Bayes Theorem Malaria Weather
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Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

PloS one May 27, 2025
BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategies for patients with advanced ovarian cancer.
Bayes Theorem Prognosis Female Biomarkers, Tumor Middle Aged Gene Expression Regulation, Neoplastic Ovarian Neoplasms Humans Machine Learning
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EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques.

Scientific reports May 23, 2025
Semantic segmentation involves an imminent part in the investigation of medical images, particularly in the domain of microvascular decompression, where publicly available datasets are scarce, and expert annotation is demanding. In response to this c...
Microvascular Decompression Surgery Bayes Theorem Deep Learning Semantics Image Processing, Computer-Assisted Microvessels Humans Algorithms
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Predictive hybrid model of a grid-connected photovoltaic system with DC-DC converters under extreme altitude conditions at 3800 meters above sea level.

PloS one May 19, 2025
This study aims to develop a predictive hybrid model for a grid-connected PV system with DC-DC optimizers, designed to operate in extreme altitude conditions at 3800 m above sea level. This approach seeks to address the "curse of dimensionality" by r...
Solar Energy Altitude Electric Power Supplies Algorithms Models, Theoretical Bayes Theorem
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