AIMC Topic: Discriminant Analysis

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Classification of Lu'an Gua Pian tea before and after Qingming Festival using HPLC-DAD analysis: a comparison of different data analysis strategies.

Analytical methods : advancing methods and applications May 15, 2025
Lu'an Gua Pian tea (LAGP) is a traditional Chinese historical tea and one of the top ten famous teas in China. The price of LAGP from the same place of origin varies greatly in the market depending on the harvest time, with the LAGP harvested before ...
Data Analysis Least-Squares Analysis Discriminant Analysis Chromatography, High Pressure Liquid China Tea Principal Component Analysis
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Label-free rapid diagnosis of jaw osteonecrosis via the intersection of Raman spectroscopy and deep learning.

Bone May 2, 2025
OBJECTIVES: To establish a precise and efficient diagnostic framework for distinguishing medication-related osteonecrosis of the jaw, radiation-induced osteonecrosis of the jaw, and normal bone tissue, thus enhancing clinical decision-making and enab...
Humans Female Male Discriminant Analysis ROC Curve Spectrum Analysis, Raman Principal Component Analysis Middle Aged Deep Learning
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Plastics detection and sorting using hyperspectral sensing and machine learning algorithms.

Waste management (New York, N.Y.) May 1, 2025
Plastic waste second life management requires effective detection (and sorting if necessary) techniques to tackle the environmental challenge it poses. This research explores the application of hyperspectral imaging in the spectral range 900-1700 nm ...
Waste Management Refuse Disposal Discriminant Analysis Hyperspectral Imaging Recycling Principal Component Analysis Machine Learning Remote Sensing Technology Algorithms Plastics
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A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS).

Health informatics journal Apr 25, 2025
The study aims to assess the efficacy of various neural network architectures in predicting the National Early Warning Systems (NEWS) score, using vital signs, to enhance early warning and monitoring in clinical settings. A comparative evaluation o...
Early Warning Score Humans Neural Networks, Computer Support Vector Machine Monitoring, Physiologic Discriminant Analysis Vital Signs
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Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression.

ACS nano Apr 15, 2025
Optical spectroscopy, a noninvasive molecular sensing technique, offers valuable insights into material characterization, molecule identification, and biosample analysis. Despite the informativeness of high-dimensional optical spectra, their interpre...
Alzheimer Disease Spectrum Analysis SARS-CoV-2 Logistic Models Support Vector Machine Principal Component Analysis Discriminant Analysis Amyloid beta-Peptides Machine Learning COVID-19 Algorithms Humans
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept.

Scientific reports Apr 1, 2025
The major prevalent primary bone cancer is osteosarcoma. Preoperative chemotherapy is accompanied by resection as part of the normal course of treatment. The diagnosis and treatment of patients are based on the chemotherapy reaction. Contrarily, chem...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Osteosarcoma Bone Neoplasms Discriminant Analysis
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Cancer Cell Line Classification Using Raman Spectroscopy of Cancer-Derived Exosomes and Machine Learning.

Analytical chemistry Mar 27, 2025
Liquid biopsies are an emerging, noninvasive tool for cancer diagnostics, utilizing biological fluids for molecular profiling. Nevertheless, the current methods often lack the sensitivity and specificity necessary for early detection and real-time mo...
Cell Line, Tumor Machine Learning Principal Component Analysis Humans Spectrum Analysis, Raman Neoplasms Discriminant Analysis Lipids Exosomes
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Compositional analysis of alternative protein blends using near and mid-infrared spectroscopy coupled with conventional and machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 25, 2025
The non-invasive real-time analysis of the composition of alternative, plant-based protein sources is important to control high moisture extrusion processes and ensure the quality and texture of the final extrudates used in the elaboration of meat an...
Least-Squares Analysis Discriminant Analysis Plant Proteins Algorithms Glutens Neural Networks, Computer Spectroscopy, Near-Infrared Spectrophotometry, Infrared Machine Learning Support Vector Machine
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Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets.

Computers in biology and medicine Mar 24, 2025
Covariance and Hessian matrices have been analyzed separately in the literature for classification problems. However, integrating these matrices has the potential to enhance their combined power in improving classification performance. We present a n...
Deep Learning Discriminant Analysis Humans Algorithms Databases, Factual
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Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.

Scientific reports Mar 21, 2025
New bronchoscopy techniques like radial probe endobronchial ultrasound have been developed for real-time sampling characterization, but their use is still limited. This study aims to use classification algorithms with minimally invasive electrical im...
Female Discriminant Analysis Humans Male Biopsy Machine Learning Middle Aged Dielectric Spectroscopy Algorithms ROC Curve Bronchoscopy Lung Neoplasms Decision Trees Support Vector Machine Bayes Theorem
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