AIMC Topic: Support Vector Machine

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Predicting noise-induced hearing loss with machine learning: the influence of tinnitus as a predictive factor.

The Journal of laryngology and otology May 9, 2024
OBJECTIVES: This study aimed to determine which machine learning model is most suitable for predicting noise-induced hearing loss and the effect of tinnitus on the models' accuracy.
Male Middle Aged Occupational Exposure Female Risk Factors Adult Audiometry, Pure-Tone Occupational Diseases Hearing Loss, Noise-Induced Metallurgy Support Vector Machine Predictive Value of Tests Tinnitus Humans Machine Learning Noise, Occupational
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Modeling and Optimization of an Enhanced Soft Sensor for the Fermentation Process of .

Sensors (Basel, Switzerland) May 9, 2024
This paper proposes a novel soft sensor modeling approach, MIC-TCA-INGO-LSSVM, to address the decline in performance of soft sensor models during the fermentation process of , caused by changes in working conditions. Initially, the transfer component...
Least-Squares Analysis Algorithms Saccharomycetales Fermentation Support Vector Machine Pichia
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Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry.

Sensors (Basel, Switzerland) May 9, 2024
The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly...
Riboflavin NADP Seeds Algorithms Oryza Spectrometry, Fluorescence Support Vector Machine Starch
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Exploration of a machine learning approach for diagnosing sarcopenia among Chinese community-dwelling older adults using sEMG-based data.

Journal of neuroengineering and rehabilitation May 9, 2024
BACKGROUND: In the practical application of sarcopenia screening, there is a need for faster, time-saving, and community-friendly detection methods. The primary purpose of this study was to perform sarcopenia screening in community-dwelling older adu...
Aged, 80 and over Male Middle Aged China Support Vector Machine Hand Strength Machine Learning Female Aged Humans East Asian People Sarcopenia Muscle, Skeletal Electromyography Independent Living
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Establishment and Verification of an Artificial Intelligence Prediction Model for Children With Sepsis.

The Pediatric infectious disease journal May 8, 2024
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce sepsis mortality. This article used artificial intelligence (AI) technology to predict the risk of death effectively and quickly in children with sep...
Intensive Care Units, Pediatric Support Vector Machine Infant, Newborn Male Infant Artificial Intelligence Child, Preschool Retrospective Studies Child Female Humans Sepsis Neural Networks, Computer Adolescent
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Rapid determination of starch and alcohol contents in fermented grains by hyperspectral imaging combined with data fusion techniques.

Journal of food science May 8, 2024
Starch and alcohol serve as pivotal indicators in assessing the quality of lees fermentation. In this paper, two hyperspectral imaging (HSI) techniques (visible-near-infrared (Vis-NIR) and NIR) were utilized to acquire separate HSI data, which were t...
Fermentation Fermented Foods Hyperspectral Imaging Alcohols Least-Squares Analysis Edible Grain Starch Algorithms Spectroscopy, Near-Infrared Support Vector Machine Principal Component Analysis
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Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus.

PloS one May 8, 2024
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare providers worldwide due to the steady increment of patients yearly. Worrying...
Humans Male Data Mining Machine Learning Diabetes Mellitus Algorithms Support Vector Machine
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A novel approach of brain-computer interfacing (BCI) and Grad-CAM based explainable artificial intelligence: Use case scenario for smart healthcare.

Journal of neuroscience methods May 7, 2024
BACKGROUND: In order to push the frontiers of brain-computer interface (BCI) and neuron-electronics, this research presents a novel framework that combines cutting-edge technologies for improved brain-related diagnostics in smart healthcare. This res...
Neural Networks, Computer Artificial Intelligence Brain Brain-Computer Interfaces Humans Support Vector Machine Magnetic Resonance Imaging
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Detection of Non-Sustained Supraventricular Tachycardia in Atrial Fibrillation Screening.

IEEE journal of translational engineering in health and medicine May 7, 2024
OBJECTIVE: Non-sustained supraventricular tachycardia (nsSVT) is associated with a higher risk of developing atrial fibrillation (AF), and, therefore, detection of nsSVT can improve AF screening efficiency. However, the detection is challenged by the...
Signal Processing, Computer-Assisted Humans Atrial Fibrillation Electrocardiography Tachycardia, Supraventricular Support Vector Machine
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Classification of exercise fatigue levels by multi-class SVM from ECG and HRV.

Medical & biological engineering & computing May 6, 2024
Among the various physiological signals, electrocardiogram (ECG) is a valid criterion for the classification of various exercise fatigue. In this study, we combine features extracted by deep neural networks with linear features from ECG and heart rat...
Neural Networks, Computer Algorithms Adult Humans Support Vector Machine Signal Processing, Computer-Assisted Heart Rate Fatigue Male Exercise Electrocardiography
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