AIMC Topic: Support Vector Machine

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An optimal fast fractal method for breast masses diagnosis using machine learning.

Medical engineering & physics Aug 23, 2024
This article introduces a fast fractal method for classifying breast cancerous lesions in mammography. While fractal methods are valuable for extracting information, they often come with a high computational load and time consumption. This paper demo...
Humans Machine Learning Female Breast Neoplasms Mammography Time Factors Fractals Image Processing, Computer-Assisted Support Vector Machine
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Independent Vector Analysis for Feature Extraction in Motor Imagery Classification.

Sensors (Basel, Switzerland) Aug 22, 2024
Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information. In the context of motor imager...
Brain-Computer Interfaces Movement Imagination Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Humans Algorithms
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LERCause: Deep learning approaches for causal sentence identification from nuclear safety reports.

PloS one Aug 22, 2024
Identifying causal sentences from nuclear incident reports is essential for advancing nuclear safety research and applications. Nonetheless, accurately locating and labeling causal sentences in text data is challenging, and might benefit from the usa...
Humans Neural Networks, Computer Safety Deep Learning Support Vector Machine Natural Language Processing
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Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses.

Scientific reports Aug 21, 2024
The druggable proteome refers to proteins that can bind to small molecules with appropriate chemical affinity, inducing a favorable clinical response. Predicting druggable proteins through screening and in silico modeling is imperative for drug desig...
Multiomics Support Vector Machine Neoplasm Proteins Neoplasms Antineoplastic Agents Computational Biology Drug Repositioning Humans Artificial Intelligence Machine Learning
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Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction.

Food chemistry Aug 20, 2024
This research focused on distinguishing distinct matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral signatures of three Enterococcus species. We evaluated and compared the predictive performance of fo...
Algorithms Machine Learning Support Vector Machine Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Supervised Machine Learning Enterococcus Bacterial Typing Techniques
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Classification of subspecies based on MALDI-TOF MS protein profiles using machine learning models.

Microbiology spectrum Aug 20, 2024
UNLABELLED: is an important bacterial species used as a starter culture for fermented foods; however, two subspecies within this species exhibit different properties in the foods. Matrix-assisted laser desorption/ionization-time of flight mass spect...
Latilactobacillus sakei Bacterial Typing Techniques Bacterial Proteins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Fermented Foods Machine Learning Support Vector Machine Food Microbiology
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Decoding myasthenia gravis: advanced diagnosis with infrared spectroscopy and machine learning.

Scientific reports Aug 20, 2024
Myasthenia Gravis (MG) is a rare neurological disease. Although there are intensive efforts, the underlying mechanism of MG still has not been fully elucidated, and early diagnosis is still a question mark. Diagnostic paraclinical tests are also time...
Biomarkers Female Aged Humans Machine Learning Principal Component Analysis Middle Aged Spectrophotometry, Infrared Support Vector Machine Myasthenia Gravis Spectroscopy, Fourier Transform Infrared Adult Male
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Explainable machine learning framework to predict the risk of work-related neck and shoulder musculoskeletal disorders among healthcare professionals.

Frontiers in public health Aug 20, 2024
OBJECTIVE: This study aims to develop risk prediction models for neck and shoulder musculoskeletal disorders among healthcare professionals.
Occupational Diseases Musculoskeletal Diseases Shoulder Risk Factors Adult Male Middle Aged Risk Assessment Support Vector Machine Algorithms Health Personnel Female Humans Machine Learning
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Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Machine Learning Iran Floods Game Theory Algorithms Support Vector Machine Supervised Machine Learning
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An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis.

PloS one Aug 19, 2024
Medical image classification (IC) is a method for categorizing images according to the appropriate pathological stage. It is a crucial stage in computer-aided diagnosis (CAD) systems, which were created to help radiologists with reading and analyzing...
Support Vector Machine Mammography Breast Neoplasms Diagnosis, Computer-Assisted Humans ROC Curve Neural Networks, Computer Algorithms Female
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