AIMC Topic: Principal Component Analysis

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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Humans Machine Learning Algorithms Principal Component Analysis Bias Coronary Disease Male Support Vector Machine Decision Trees
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Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.

Communications biology Aug 6, 2025
Deep learning for microbiome analysis has shown potential for understanding microbial communities and human phenotypes. Here, we propose an approach, Transformer-based Robust Principal Component Analysis(TRPCA), which leverages the strengths of trans...
Skin Whole Genome Sequencing Microbiota Aging Female Humans Gastrointestinal Microbiome Middle Aged RNA, Ribosomal, 16S Adult Deep Learning Principal Component Analysis Male
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Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif...
Humans Machine Learning Africa Climate Change Food Supply Greenhouse Gases Principal Component Analysis Methane Carbon Dioxide Food Security Nitrous Oxide
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NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

The Analyst Aug 4, 2025
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi...
Liver Principal Component Analysis Non-alcoholic Fatty Liver Disease Disease Progression Rats Spectrum Analysis, Raman Support Vector Machine Disease Models, Animal Metabolic Syndrome Machine Learning Animals Male
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Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.

Analytical methods : advancing methods and applications Jul 24, 2025
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi...
Support Vector Machine Principal Component Analysis Discriminant Analysis Influenza, Human Machine Learning Algorithms Spectrum Analysis, Raman Humans
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Statistical toolkit for analysis of radiotherapy DICOM data.

Biomedical physics & engineering express Jul 17, 2025
Radiotherapy (RT) has become increasingly sophisticated, necessitating advanced tools for analyzing extensive treatment data in hospital databases. Such analyses can enhance future treatments, particularly through Knowledge-Based Planning, and aid in...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Algorithms Databases, Factual Retrospective Studies Neoplasms Principal Component Analysis Organs at Risk Humans Software
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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques.

BMC plant biology Jul 15, 2025
BACKGROUND: Himalayan forests are fragile, rich in biodiversity, and face increasing threats from anthropogenic pressures and climate change. Assessing their health is critical for sustainable forest management. This study integrated ecological indic...
Machine Learning Principal Component Analysis Multivariate Analysis Forests Trees Conservation of Natural Resources
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Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification.

Journal of chemical theory and computation Jul 14, 2025
In this study, we propose a Kernel-PCA model designed to capture structure-function relationships in a protein. This model also enables the ranking of reaction coordinates according to their impact on protein properties. By leveraging machine learnin...
Molecular Dynamics Simulation Protein Conformation Receptors, G-Protein-Coupled Structure-Activity Relationship Principal Component Analysis Machine Learning Proteins
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Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass.

Scientific reports Jul 8, 2025
This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensis experimentally and computationally using machine-learning (ML)-based techniques. Despite extensive studies on the anaerobic digestion of lignocellul...
Principal Component Analysis Methane Lignin Machine Learning Neural Networks, Computer Sodium Hydroxide Biomass Support Vector Machine
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Scientific reports Jul 1, 2025
Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 systemic diseases. Despite advancements, precision medicine approaches have had limited success, emphasizing the need for deeper insights into cellular su...
Sequence Analysis, RNA Gene Expression Profiling Principal Component Analysis Transcriptome Keratinocytes Gingiva Humans Single-Cell Analysis Autoencoder Algorithms
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