AIMC Topic: Support Vector Machine

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Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models.

Sensors (Basel, Switzerland) Dec 21, 2024
Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges due to the variability of results and reliance on operator expertise. This study addresses the development of a system based on machine learning algorithms to...
Leishmaniasis, Cutaneous Microscopy Leishmania Machine Learning Algorithms Image Processing, Computer-Assisted Support Vector Machine Humans
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Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 20, 2024
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classificatio...
Least-Squares Analysis Discriminant Analysis Machine Learning Animal Feed Microplastics Chickens Algorithms Support Vector Machine Animals Food Contamination Spectroscopy, Near-Infrared Principal Component Analysis
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Do machine learning methods solve the main pitfall of linear regression in dental age estimation?

Forensic science international Dec 20, 2024
INTRODUCTION: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains det...
Bayes Theorem Radiography, Panoramic South Africa White People Humans Linear Models Age Determination by Teeth Black People Machine Learning Female Adolescent Male Child, Preschool Child Support Vector Machine
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Liver Cirrhosis Support Vector Machine Magnetic Resonance Imaging Liver Middle Aged Severity of Illness Index ROC Curve Reference Standards Elasticity Imaging Techniques Echo-Planar Imaging Principal Component Analysis Area Under Curve Biopsy Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Aged Adult Male
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Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Sensors (Basel, Switzerland) Dec 20, 2024
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early ...
Humans Machine Learning Brain Female Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Aged Male Middle Aged Logistic Models
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Automated feature selection for early keratoconus screening optimization.

Biomedical physics & engineering express Dec 20, 2024
In this paper, an automated feature selection (FS) method is presented to optimize machine learning (ML) models' performances, enhancing early keratoconus screening. A total of 448 parameters were analyzed from a dataset comprising 3162 observations ...
Humans Male Image Processing, Computer-Assisted Support Vector Machine Keratoconus Tomography, Optical Coherence Automation Electronic Health Records Female Adult Cornea Neural Networks, Computer Machine Learning Algorithms
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

PloS one Dec 20, 2024
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML...
Solar Energy Forecasting Sunlight Neural Networks, Computer Logistic Models Machine Learning Support Vector Machine Algorithms Random Forest
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Photonic platform coupled with machine learning algorithms to detect pyrolysis products of crack cocaine in saliva: A proof-of-concept animal study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 18, 2024
The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in saliva can provide an alternative for drug analysis in forensic toxicology. Therefore, a highly sensitive, fast, reagent-free, and sustainable approach wi...
Crack Cocaine Saliva Proof of Concept Study Pyrolysis Photons Machine Learning Support Vector Machine Animals Spectroscopy, Fourier Transform Infrared Male Principal Component Analysis Rats
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Predicting cyclins based on key features and machine learning methods.

Methods (San Diego, Calif.) Dec 18, 2024
Cyclins are a group of proteins that regulate the cell cycle process by modulating various stages of cell division to ensure correct cell proliferation, differentiation, and apoptosis. Research on cyclins is crucial for understanding the biological f...
Humans Machine Learning Support Vector Machine Cyclins
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Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters.

BMC anesthesiology Dec 18, 2024
BACKGROUND: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequent...
Cross-Sectional Studies Humans Male Machine Learning Middle Aged Support Vector Machine Algorithms Decision Trees Female Iran Adult Airway Management Intubation, Intratracheal
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