AIMC Topic: Support Vector Machine

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Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.

Scientific reports Nov 22, 2024
This study introduces a novel approach for the early detection of pancreatic cancer through biofluid spectroscopy, leveraging a unique machine learning pipeline comprising class-specific principal component analysis (PCA), linear discriminant analysi...
Spectroscopy, Fourier Transform Infrared Early Detection of Cancer Pancreatic Neoplasms Principal Component Analysis Discriminant Analysis Humans Support Vector Machine
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Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.

PloS one Nov 22, 2024
This study aimed to develop image-analysis-based classification models for distinguishing individuals younger and older than 30 using the medial clavicle. We extracted 2D images of the medial clavicle from multi-slice computed tomography (MSCT) scans...
Clavicle Female Male Aged Middle Aged Humans Young Adult Support Vector Machine Image Processing, Computer-Assisted Neural Networks, Computer Adult Age Factors Logistic Models Tomography, X-Ray Computed Principal Component Analysis Age Determination by Skeleton
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A multi-class support vector machine classification model based on 14 microRNAs for forensic body fluid identification.

Forensic science international. Genetics Nov 21, 2024
MicroRNAs (miRNAs) are promising biomarkers for forensic body fluid identification owing to their small size, stability against degradation, and differential expression patterns. However, the expression of most body fluid-miRNAs is relative (differen...
Adult Male Gene Expression Profiling Real-Time Polymerase Chain Reaction Support Vector Machine MicroRNAs Semen Genetic Markers Humans Female Cervix Mucus Saliva Pericardial Fluid Body Fluids Forensic Genetics Menstruation
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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BMC cancer Nov 21, 2024
BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophagea...
Oxidative Stress ROC Curve Support Vector Machine Decision Trees Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Aged, 80 and over Survival Rate Biomarkers, Tumor Male Retrospective Studies Female Aged Humans Machine Learning Prognosis
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Detection of hate: speech tweets based convolutional neural network and machine learning algorithms.

Scientific reports Nov 21, 2024
There is no doubt that social media sites have provided many benefits to humanity, such as sharing information continuously and communicating with others easily. It also seems that social media sites have many advantages, but in addition to these adv...
Speech Support Vector Machine Social Media Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Biomedical physics & engineering express Nov 21, 2024
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in providing optimal therapy for the neonates. The proposed study predicts ea...
Retina Image Interpretation, Computer-Assisted Retinopathy of Prematurity Algorithms Humans Infant, Newborn Image Processing, Computer-Assisted Neural Networks, Computer Diagnosis, Computer-Assisted Support Vector Machine Artificial Intelligence ROC Curve Principal Component Analysis Machine Learning Fundus Oculi
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Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form.

PloS one Nov 21, 2024
BACKGROUND AND OBJECTIVE: Detecting patients at high risk of occurrence of an Invasive Disease Event after a first diagnosis of breast cancer, such as recurrence, distant metastasis, contralateral tumor and second tumor, could support clinical decisi...
Machine Learning Female Aged Adult Neoplasm Recurrence, Local Breast Neoplasms Humans Middle Aged Neural Networks, Computer Support Vector Machine Neoplasm Invasiveness
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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...
Brain-Computer Interfaces Imagination Deep Learning Support Vector Machine Electroencephalography 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 ...
Neural Networks, Computer Machine Learning Female Aged Humans Support Vector Machine Remission Induction Acromegaly Federated Learning Adult Male Middle Aged 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...
Humans Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Brain Female Aged Male Positron-Emission Tomography Image Interpretation, Computer-Assisted Prodromal Symptoms
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