AIMC Topic: Support Vector Machine

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Interpretable machine learning model predicting immune checkpoint inhibitor-induced hypothyroidism: A retrospective cohort study.

Cancer science Sep 23, 2024
Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICIs) in cancer treatment. This study aimed to develop an interpretable machine learning (ML) model for individualized prediction of hypothyroidism in pa...
Neoplasms ROC Curve Immune Checkpoint Inhibitors Adult Male Middle Aged Thyrotropin Logistic Models Support Vector Machine Hypothyroidism Humans Machine Learning Retrospective Studies Female Aged
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Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness.

Sensors (Basel, Switzerland) Sep 22, 2024
Brain-computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a balance between classification accuracy and system responsiveness is crucial for real-time applications. This study aimed to assess how the duration of ti...
Female Stroke Humans Aged Support Vector Machine Algorithms Brain-Computer Interfaces Male Discriminant Analysis Stroke Rehabilitation Middle Aged Electroencephalography Time Factors
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Production monitoring and quality characterization of black garlic using Vis-NIR hyperspectral imaging integrated with chemometrics strategies.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 21, 2024
As a new deep-processing garlic product with notable health benefits, the accurate discrimination of processing stages and prediction of key physicochemical constituents in black garlic are vital for maintaining product quality. This study proposed a...
Hyperspectral Imaging Garlic Chemometrics Support Vector Machine Least-Squares Analysis Discriminant Analysis Spectroscopy, Near-Infrared
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Thermal desorption-photoionization ion mobility-electronic nose (TD-PIM-Nose) with distance-probability joint decision SVM algorithm: A novel system for Daqu Grade identification.

Food chemistry Sep 20, 2024
Electronic nose is a bionic technology that uses sensor arrays and pattern recognition algorithms to mimic the human olfactory system. This study developed a thermal desorption-photoionization ion mobility-electronic nose (TD-PIM-Nose) system, employ...
Electronic Nose Humans Algorithms Support Vector Machine
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Machine learning based predictive analysis of DNA cleavage induced by diverse nanomaterials.

Scientific reports Sep 20, 2024
DNA cleavage by nanomaterials has the potential to be utilized as an innovative tool for gene editing. Numerous nanomaterials exhibiting DNA cleavage properties have been identified and cataloged. Yet, the exploitation of property data through data-d...
DNA Nanostructures DNA Cleavage Algorithms Support Vector Machine Neural Networks, Computer Machine Learning
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Effects of Individual Research Practices on fNIRS Signal Quality and Latent Characteristics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 20, 2024
Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool for cross-cultural neuroimaging studies. However, the reproducibility and comparability of fNIRS studies is still an open issue in the scientific community. The paucity of ...
Italy Male Data Accuracy Reproducibility of Results Spectroscopy, Near-Infrared Humans Young Adult Deep Learning Algorithms Functional Neuroimaging Adult Female Cohort Studies Support Vector Machine
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Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

Archives of gerontology and geriatrics Sep 19, 2024
BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable.
Hip Fractures Propensity Score Male Nomograms Humans Support Vector Machine Machine Learning Risk Factors Ischemic Stroke Aged Prognosis Aged, 80 and over Female
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Radiomics-Based Support Vector Machine Distinguishes Molecular Events Driving the Progression of Lung Adenocarcinoma.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Sep 19, 2024
INTRODUCTION: An increasing number of early-stage lung adenocarcinomas (LUAD) are detected as lung nodules. The radiological features related to LUAD progression warrant further investigation. Exploration is required to bridge the gap between radiomi...
Humans Prognosis Tomography, X-Ray Computed Lung Neoplasms Male Female Support Vector Machine Middle Aged Adenocarcinoma of Lung Aged Disease Progression Radiomics
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Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Microscopy research and technique Sep 18, 2024
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examination of the patient is the primary diagnostic technique. This scan analysis pertains to an MRI, CT, or X-ray. The automated classification of lung ca...
Humans Machine Learning Algorithms Lung Neoplasms Support Vector Machine Decision Trees Bayes Theorem Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted
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Predicting Antidiabetic Peptide Activity: A Machine Learning Perspective on Type 1 and Type 2 Diabetes.

International journal of molecular sciences Sep 18, 2024
Diabetes mellitus (DM) presents a critical global health challenge, characterized by persistent hyperglycemia and associated with substantial economic and health-related burdens. This study employs advanced machine-learning techniques to improve the ...
Diabetes Mellitus, Type 1 Hypoglycemic Agents Support Vector Machine Peptides Humans Diabetes Mellitus, Type 2 Machine Learning
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