AIMC Topic: Support Vector Machine

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Support matrix machine: A review.

Neural networks : the official journal of the International Neural Network Society Oct 9, 2024
Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. However, a significant portion of the real-world data exists in matrix ...
Algorithms Support Vector Machine Machine Learning
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Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study.

Microvascular research Oct 9, 2024
OBJECTIVE: To evaluate the performance of machine learning and then deep learning to detect a systemic scleroderma (SSc) landscape from the same set of nailfold capillaroscopy (NC) images from the French prospective multicenter observational study SC...
France Nails Microscopic Angioscopy Scleroderma, Systemic Support Vector Machine Predictive Value of Tests Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Humans Prospective Studies Female Reproducibility of Results Aged Adult
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Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.

Talanta Oct 9, 2024
Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in disease diagnose. Choledocholithiasis is a widespread and often recurrent digestive system disease, with limited data on factors predicting its format...
Aged Male Middle Aged Humans Machine Learning Female Choledocholithiasis Spectrum Analysis, Raman Recurrence Support Vector Machine Bile Principal Component Analysis
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PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Pseudouridine is a type of abundant RNA modification that is seen in many different animals and is crucial for a variety of biological functions. Accurately identifying pseudouridine sites within the RNA sequence is vital for the subsequent study of ...
Animals Saccharomyces cerevisiae Mice Pseudouridine Computational Biology Humans Sequence Analysis, RNA Algorithms Support Vector Machine RNA
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Machine-Learning-Based Prediction of Photobiomodulation Effects on Older Adults With Cognitive Decline Using Functional Near-Infrared Spectroscopy.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 8, 2024
Transcranial photobiomodulation (tPBM) has been widely studied for its potential to enhance cognitive functions of the elderly. However, its efficacy varies, with some individuals exhibiting no significant response to the treatment. Considering these...
Low-Level Light Therapy Male Middle Aged Spectroscopy, Near-Infrared Cognitive Dysfunction Female Humans Treatment Outcome Machine Learning Aged Support Vector Machine Algorithms Aged, 80 and over
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Distributional uniformity quantification in heterogeneous prepared dishes combined the hyperspectral imaging technology with Moran's I: A case study of pizza.

Food chemistry Oct 5, 2024
Quality detection is critical in the development of prepared dishes, with distributional uniformity playing a significant role. This study used hyperspectral imaging (HSI) and Moran's I to quantify distributional uniformity, employing pizza as case. ...
Hyperspectral Imaging Food Handling Support Vector Machine Principal Component Analysis Quality Control Image Processing, Computer-Assisted
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Near-infrared spectroscopy combined with support vector machine for the identification of Tartary buckwheat (Fagopyrum tataricum (L.) Gaertn) adulteration using wavelength selection algorithms.

Food chemistry Oct 5, 2024
The frequent occurrence of adulterating Tartary buckwheat powder with crop flours in the market necessitates an urgent need for a simple analysis method to ensure the quality of Tartary buckwheat. This study employed near-infrared spectroscopy (NIRS)...
Discriminant Analysis Flour Fagopyrum Support Vector Machine Food Contamination Least-Squares Analysis Algorithms Spectroscopy, Near-Infrared
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Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients.

Journal of affective disorders Oct 5, 2024
OBJECTIVE: The objective was to utilize nine machine learning (ML) methods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients.
Bayes Theorem Humans Hashimoto Disease Machine Learning Encephalitis Male Prognosis Female Middle Aged Aged Support Vector Machine Adult
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CureMate: A clinical decision support system for breast cancer treatment.

International journal of medical informatics Oct 5, 2024
BACKGROUND: Breast Cancer (BC) poses significant challenges in treatment decision-making. Multiple first treatment lines are currently available, determined by several patient-specific factors that need to be considered in the decision-making process...
Humans Artificial Intelligence Machine Learning Algorithms Decision Support Systems, Clinical Support Vector Machine Female Bayes Theorem Breast Neoplasms Middle Aged
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A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification.

Journal of imaging informatics in medicine Oct 2, 2024
Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its cost-effectiveness and non-ionizing radiation, has emerged as a promising tool for early breast cancer diagnosis. This article presents a hybrid mode...
Breast Neoplasms Support Vector Machine Image Interpretation, Computer-Assisted Thermography Humans Neural Networks, Computer Female
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