AIMC Topic: Principal Component Analysis

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Developing novel spectral indices for precise estimation of soil pH and organic carbon with hyperspectral data and machine learning.

Environmental monitoring and assessment Nov 26, 2024
Accurate soil pH and soil organic carbon (SOC) estimations are vital for sustainable agriculture, as pH affects nutrient availability, and SOC is crucial for soil health and fertility. Hyperspectral imaging provides a faster, non-destructive, and eco...
Principal Component Analysis Hydrogen-Ion Concentration Neural Networks, Computer Agriculture Machine Learning Environmental Monitoring Soil Carbon
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Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.

Scientific reports Nov 22, 2024
This study introduces a novel approach for the early detection of pancreatic cancer through biofluid spectroscopy, leveraging a unique machine learning pipeline comprising class-specific principal component analysis (PCA), linear discriminant analysi...
Pancreatic Neoplasms Principal Component Analysis Discriminant Analysis Humans Support Vector Machine Spectroscopy, Fourier Transform Infrared Early Detection of Cancer
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Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.

PloS one Nov 22, 2024
This study aimed to develop image-analysis-based classification models for distinguishing individuals younger and older than 30 using the medial clavicle. We extracted 2D images of the medial clavicle from multi-slice computed tomography (MSCT) scans...
Male Middle Aged Age Determination by Skeleton Logistic Models Humans Female Image Processing, Computer-Assisted Clavicle Neural Networks, Computer Aged Support Vector Machine Tomography, X-Ray Computed Young Adult Age Factors Adult Principal Component Analysis
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Urine Analysed by FTIR, Chemometrics and Machine Learning Methods in Determination Spectroscopy Marker of Prostate Cancer in Urine.

Journal of biophotonics Nov 21, 2024
Prostate-specific antigen (PSA) is the most commonly used marker of prostate cancer. However, nearly 25% of men with elevated PSA levels do not have cancer and nearly 20% of patients with prostate cancer have normal serum PSA levels. Therefore, in th...
Principal Component Analysis Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading Male Middle Aged Spectroscopy, Fourier Transform Infrared Urinalysis Humans Machine Learning Aged Biomarkers, Tumor
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Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Biomedical physics & engineering express Nov 21, 2024
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in providing optimal therapy for the neonates. The proposed study predicts ea...
Retina Image Interpretation, Computer-Assisted Retinopathy of Prematurity Artificial Intelligence Support Vector Machine Machine Learning Principal Component Analysis Algorithms Fundus Oculi Humans Infant, Newborn Neural Networks, Computer Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted
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CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images.

Computer methods and programs in biomedicine Nov 19, 2024
BACKGROUND AND OBJECTIVE: Treatment approaches for colorectal cancer (CRC) are highly dependent on the molecular subtype, as immunotherapy has shown efficacy in cases with microsatellite instability (MSI) but is ineffective for the microsatellite sta...
Machine Learning Algorithms Colorectal Neoplasms Deep Learning Image Processing, Computer-Assisted Principal Component Analysis Microsatellite Instability Humans Neural Networks, Computer Eosine Yellowish-(YS) Hematoxylin
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Machine learning for classifying chronic ankle instability based on ankle strength, range of motion, postural control and anatomical deformities in delivery service workers with a history of lateral ankle sprains.

Musculoskeletal science & practice Nov 19, 2024
OBJECTIVE: Chronic ankle instability (CAI) frequently develops as a result of lateral ankle sprains (LAS) in delivery service workers (DSWs). Identifying risk factors for CAI is crucial for implementing targeted interventions. This study aimed to dev...
Ankle Joint Ankle Injuries Cross-Sectional Studies Joint Instability Male Principal Component Analysis Middle Aged Humans Machine Learning Postural Balance Muscle Strength Female Range of Motion, Articular Young Adult Military Personnel Adult
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Preventing mislabeling of organic white button mushrooms (Agaricus bisporus) combining NMR-based foodomics, statistical, and machine learning approach.

Food research international (Ottawa, Ont.) Nov 19, 2024
Organic foods are among the most susceptible to fraud and mislabeling since the differentiation between organic and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiation model that combines nucl...
Machine Learning Principal Component Analysis Least-Squares Analysis Agaricus Neural Networks, Computer Food Labeling Discriminant Analysis Magnetic Resonance Spectroscopy Food, Organic
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An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and a one-dimensional neural network combining ResNet and SENet.

The Analyst Nov 18, 2024
Cancer is one of the most serious health problems worldwide. Because cancer has no specific symptoms in its early stages, it is often not diagnosed until it is in advanced stages, reducing the likelihood of successful treatment. Therefore, early diag...
Humans Proteomics Mass Spectrometry Ovarian Neoplasms Neural Networks, Computer Principal Component Analysis Algorithms Female Neoplasms
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Accurate and efficient prediction of atmospheric PM, PM, PM, and O concentrations using a customized software package based on a machine-learning algorithm.

Chemosphere Nov 16, 2024
Particulate matter (PM) and ozone (O) pollution have been attracting increasing attention recently due to their severe harm to human health. PM and O are secondary pollutants, and there remain significant challenges in accurately and efficiently pred...
China Environmental Monitoring Principal Component Analysis Air Pollutants Machine Learning Software Algorithms Nitrogen Oxides Air Pollution Atmosphere Ozone Particulate Matter
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