AIMC Topic: Support Vector Machine

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Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML.

Journal of chemical information and modeling Apr 15, 2025
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate. Different techniques are available to address the class i...
Support Vector Machine Random Forest Drug Discovery Drug Development Machine Learning Algorithms
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An integrated approach of feature selection and machine learning for early detection of breast cancer.

Scientific reports Apr 15, 2025
Breast cancer ranks among the most prevalent cancers in women globally, with its treatment efficacy heavily reliant on the early identification and diagnosis of the disease. The importance of early detection and diagnosis cannot be overstated in enha...
Machine Learning Humans Breast Neoplasms Algorithms Female Support Vector Machine Early Detection of Cancer
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Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm.

European journal of medical research Apr 15, 2025
OBJECTIVES: This study aims to develop a reliable and interpretable predictive model for long-term survival in Type A aortic dissection (TAAD) patients, utilizing machine learning (ML) algorithms.
Retrospective Studies Female Aged Support Vector Machine Machine Learning Aortic Dissection Male Humans Algorithms Middle Aged Prognosis
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Predicting Maximal Military Occupational Task Performance from Physical Fitness Tests Using Machine Learning.

Medicine and science in sports and exercise Apr 14, 2025
PURPOSE: Optimal performance in military tasks is crucial for operational success. These tasks are often simulated in training, assessing personnel performance within a military environment. However, these assessments are time-consuming and a potenti...
Female Young Adult Adult Humans Machine Learning Exercise Test Physical Fitness Military Personnel Task Performance and Analysis Male Support Vector Machine Muscle Strength
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.

BMC psychiatry Apr 14, 2025
BACKGROUND: Early identification of Schizophrenia Spectrum Disorder (SSD) is crucial for effective intervention and prognosis improvement. Previous neuroimaging-based classifications have primarily focused on chronic, medicated SSD cohorts. However, ...
Middle Aged Female Case-Control Studies Humans Adult Support Vector Machine Magnetic Resonance Imaging Machine Learning Male Schizophrenia Brain
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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

PeerJ Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
Rotavirus Infections Child, Preschool Gastroenteritis Diarrhea India Bayes Theorem Rotavirus Support Vector Machine Decision Trees Humans Machine Learning Retrospective Studies Female Male Infant
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Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.

Translational psychiatry Apr 12, 2025
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical symptoms and genetic factors, often resulting in misdiagnosis and suboptimal treatment outcomes. This study aimed to identify EEG-based biomarkers tha...
Bipolar Disorder Support Vector Machine Fuzzy Logic Schizophrenia Entropy Diagnosis, Differential Electroencephalography Sensitivity and Specificity Male Middle Aged Female Young Adult Adult Humans Machine Learning
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Recognition of beef aging time using a miniaturized near-infrared spectrometer in tandem with support vector machine.

Food chemistry Apr 11, 2025
Consumers increasingly demand sustainable production practices and high-quality standards. Near-infrared (NIR) spectroscopy presents a non-invasive and efficient tool for addressing these concerns. This study aimed to evaluate vacuum-aged beef across...
Red Meat Animals Cattle Support Vector Machine Spectroscopy, Near-Infrared Time Factors
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Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data.

BMC oral health Apr 11, 2025
OBJECTIVE: This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks.
Support Vector Machine Decision Trees Dental Implants Humans Convolutional Neural Networks Image Processing, Computer-Assisted
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Predicting response to non-invasive brain stimulation in post-stroke upper extremity motor impairment: the importance of neurophysiological and clinical biomarkers.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Apr 10, 2025
BACKGROUND: Non-invasive brain stimulation (NIBS) is a promising approach to enhance upper extremity motor impairment (UEMI) recovery in post-stroke individuals. However, variability in treatment response poses a significant challenge. Identifying ne...
Aged Adult Male Middle Aged Humans Biomarkers Female Transcranial Magnetic Stimulation Pyramidal Tracts Stroke Support Vector Machine Upper Extremity Recovery of Function Stroke Rehabilitation Electroencephalography
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