AIMC Topic: Principal Component Analysis

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Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 29, 2018
The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different cadmium stress. Besides, a method involving wavelet transform and least square support vecto...
Principal Component Analysis Least-Squares Analysis Solanum lycopersicum Cadmium Reproducibility of Results Spectroscopy, Near-Infrared Support Vector Machine Plant Leaves Wavelet Analysis
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Application of Chemometric Algorithms in the High-Performance Thin-Layer Chromatography Fingerprint of Traditional Chinese Medicines.

Journal of AOAC International Dec 3, 2018
The use of HPTLC fingerprinting for the analysis of traditional Chinese medicines (TCMs) usually involves several image-processing steps. However, these image-processing steps are time consuming. We describe a new approach that applies artificial n...
Drugs, Chinese Herbal Least-Squares Analysis Discriminant Analysis Chromatography, Thin Layer Neural Networks, Computer Medicine, Chinese Traditional Principal Component Analysis
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A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve.

Chemosphere Nov 26, 2018
The impact of mining activities on the environment is vast. In this regard, many mines were operating well before the introduction of environmental law. This is particularly true of cinnabar mines, whose activity has declined for decades due to growi...
Environmental Pollution Mercury Mercury Compounds Multivariate Analysis Cluster Analysis Principal Component Analysis Bayes Theorem Soil Pollutants Spain Mining Machine Learning Environmental Monitoring
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A multi-context learning approach for EEG epileptic seizure detection.

BMC systems biology Nov 22, 2018
BACKGROUND: Epilepsy is a neurological disease characterized by unprovoked seizures in the brain. The recent advances in sensor technologies allow researchers to analyze the collected biological records to improve the treatment of epilepsy. Electroen...
Computational Biology Principal Component Analysis Electroencephalography Seizures Humans Machine Learning Signal Processing, Computer-Assisted
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Keratoconus severity identification using unsupervised machine learning.

PloS one Nov 6, 2018
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from ...
Dilatation, Pathologic Unsupervised Machine Learning Humans Principal Component Analysis Algorithms Cornea Keratoconus Female Male Aged Severity of Illness Index
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Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

Genetic epidemiology Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
Models, Genetic Principal Component Analysis Atherosclerosis Ethnicity Risk Factors Probability Humans ROC Curve Epistasis, Genetic Phenotype Gene Regulatory Networks Multifactor Dimensionality Reduction Computer Simulation Genotype Quantitative Trait, Heritable
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Analysis of tuberculosis disease through Raman spectroscopy and machine learning.

Photodiagnosis and photodynamic therapy Oct 22, 2018
We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for screening and analysis of blood sera collected from tuberculosis patients. Blood samples of 60 patients have confirmed active pulmonary tuberculosis and ...
Adult Support Vector Machine Sensitivity and Specificity Principal Component Analysis Male Tuberculosis Adolescent Middle Aged Humans Child Female Image Processing, Computer-Assisted Young Adult Spectrum Analysis, Raman
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Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods.

Scientific reports Oct 4, 2018
We investigated whether machine learning methods could potentially identify a subgroup of persons with autism spectrum disorder (ASD) who show vitamin B6 responsiveness by selected phenotype variables. We analyzed the existing data from our intervent...
Male Child Cluster Analysis Principal Component Analysis Machine Learning Phenotype Amino Acids Autism Spectrum Disorder Vitamin B 6 Female Humans
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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Animals Cell Line, Tumor Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Pancreatic Neoplasms Principal Component Analysis Area Under Curve Algorithms Female Reproducibility of Results Sensitivity and Specificity Humans Normal Distribution Machine Learning Hypoxia Image Interpretation, Computer-Assisted Mice, SCID Image Enhancement
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Serologic Tests Sjogren's Syndrome Aged Male Humans Neural Networks, Computer Predictive Value of Tests Severity of Illness Index Middle Aged Prognosis Decision Support Techniques Principal Component Analysis Diagnosis, Computer-Assisted Disease Progression Autoantibodies Female Phenotype Lymphoma Data Mining Biomarkers Diagnosis, Differential Reproducibility of Results Risk Factors
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