AIMC Topic: Support Vector Machine

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Boosted Harris Hawks Shuffled Shepherd Optimization Augmented Deep Learning based motor imagery classification for brain computer interface.

PloS one Nov 21, 2024
Motor imagery (MI) classification has been commonly employed in making brain-computer interfaces (BCI) to manage the outside tools as a substitute neural muscular path. Effectual MI classification in BCI improves communication and mobility for people...
Deep Learning Support Vector Machine Brain-Computer Interfaces Electroencephalography Imagination Humans Algorithms Brain
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Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.

World neurosurgery Nov 20, 2024
BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learning (ML) tasks in multicentered studies, maximizing the use of clinical data without data sharing. We aim to propose the first workflow of DFL for ML ...
Machine Learning Support Vector Machine Female Remission Induction Aged Acromegaly Male Adult Federated Learning Humans Middle Aged Neural Networks, Computer Deep Learning
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Multiclass classification of Alzheimer's disease prodromal stages using sequential feature embeddings and regularized multikernel support vector machine.

NeuroImage Nov 19, 2024
The detection of patients in the cognitive normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD) stages of neurodegeneration is crucial for early treatment interventions. However, the heterogeneity of MCI data samples poses a cha...
Male Cognitive Dysfunction Support Vector Machine Positron-Emission Tomography Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Brain Female Aged Humans Prodromal Symptoms
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Anomaly-based threat detection in smart health using machine learning.

BMC medical informatics and decision making Nov 19, 2024
BACKGROUND: Anomaly detection is crucial in healthcare data due to challenges associated with the integration of smart technologies and healthcare. Anomaly in electronic health record can be associated with an insider trying to access and manipulate ...
Support Vector Machine Unsupervised Machine Learning Computer Security Humans Machine Learning Electronic Health Records
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Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases.

Scientific reports Nov 19, 2024
The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to improve the accuracy of tumor volume assessment for ...
Male Middle Aged Support Vector Machine Tumor Burden Aged Radiomics Brain Neoplasms Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Female Algorithms Brain
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Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.

PloS one Nov 19, 2024
The objective of this study was to develop a predictive model using supervised machine learning to determine sex based on the dimensions of the hyoid bone. Lateral cephalometric radiographs of 495 patients were analyzed, collecting the horizontal and...
Adolescent Support Vector Machine Cephalometry Sex Characteristics Adult Male Middle Aged Sex Determination by Skeleton Humans Artificial Intelligence Female Hyoid Bone Algorithms Young Adult
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Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.

European journal of clinical investigation Nov 18, 2024
BACKGROUND: The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identif...
Blood Urea Nitrogen Middle Aged Support Vector Machine Ischemic Stroke Heart Failure Atrial Fibrillation Area Under Curve Stroke Female Male Humans Aged Stroke Volume Machine Learning
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Sunflower mapping using machine learning algorithm in Google Earth Engine platform.

Environmental monitoring and assessment Nov 18, 2024
The sunflower crop is one of the most pro sources of vegetable oil globally. It is cultivated all around the world including Haryana, in India. However, its mapping is limited due to the requirement of huge computation power, large data storage capac...
Agriculture Environmental Monitoring Support Vector Machine Crops, Agricultural Machine Learning Algorithms India Helianthus
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Discrimination of wheat gluten quality utilizing terahertz time-domain spectroscopy (THz-TDS).

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 17, 2024
Wheat is an important food crop in the world, and wheat gluten quality is one of the important standards for judging the use of wheat. In this study, a combination of chemometric and machine learning methods based on THz-TDS were used to identify thr...
Algorithms Triticum Neural Networks, Computer Refractometry Terahertz Spectroscopy Support Vector Machine Glutens
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Assessment of simulated snoring sounds with artificial intelligence for the diagnosis of obstructive sleep apnea.

Sleep medicine Nov 16, 2024
BACKGROUND: Performing simulated snoring (SS) is a commonly used method to evaluate the source of snoring in obstructive sleep apnea (OSA). SS sounds is considered as a potential biomarker for OSA. SS sounds can be easily recorded, which is a cost-ef...
Male Middle Aged Support Vector Machine Snoring Machine Learning Humans Female Sleep Apnea, Obstructive Polysomnography Algorithms Artificial Intelligence Adult Sound
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