Support Vector Machine

Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Feb 13, 2025

PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom burden clusters in breast cancer patients undergoing chemotherapy, and to determine an optimal model.

Machine Learning Algorithms Female Humans Sensitivity and Specificity Neural Networks, Computer Breast Neoplasms Aged Adult Symptom Burden Middle Aged Decision Trees Antineoplastic Agents Predictive Value of Tests ROC Curve Logistic Models Support Vector Machine

View on PubMed DOI

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

PloS one Feb 13, 2025

This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...

Random Forest Humans Biomechanical Phenomena Pattern Recognition, Automated Track and Field Convolutional Neural Networks Running Machine Learning Support Vector Machine Athletes Computer Simulation

View on PubMed DOI

Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.

Sensors (Basel, Switzerland) Feb 12, 2025

Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trot...

Forelimb Horse Diseases Lameness, Animal Hindlimb Animals Support Vector Machine Gait Horses Machine Learning Biomechanical Phenomena

View on PubMed DOI

Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 11, 2025

AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised by substantial molecular heterogeneity across its subgroups. Accurate classification is pivotal for personalised treatment strategies and prognostic as...

Child, Preschool Child Support Vector Machine Cerebellar Neoplasms Female Male Gene Expression Profiling Humans Medulloblastoma Machine Learning

View on PubMed DOI

Optimized machine learning approaches to combine surface-enhanced Raman scattering and infrared data for trace detection of xylazine in illicit opioids.

The Analyst Feb 10, 2025

Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from bot...

Analgesics, Opioid Illicit Drugs Machine Learning Spectrophotometry, Infrared Spectrum Analysis, Raman Xylazine Support Vector Machine

View on PubMed DOI

Enhanced EEG-based cognitive workload detection using RADWT and machine learning.

Neuroscience Feb 7, 2025

Understanding cognitive workload improves learning performance and provides insights into human cognitive processes. Estimating cognitive workload finds practical applications in adaptive learning systems, brain-computer interfaces, and cognitive mon...

Electroencephalography Workload Wavelet Analysis Male Cognition Support Vector Machine Humans Machine Learning Young Adult Adult Brain Female

View on PubMed DOI

Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.

Scientific reports Feb 6, 2025

Sorghum cultivation plays a pivotal role in addressing food insecurity in South Sudan, but persistent conflict continues to impose challenges in the agriculture sector therefore understanding the impact of conflict on sorghum yield prediction is impo...

Neural Networks, Computer Sorghum Machine Learning South Sudan Agriculture Support Vector Machine Remote Sensing Technology

View on PubMed DOI

Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets.

Scientific reports Feb 6, 2025

Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for effective management. The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PI...

Diabetes Mellitus Support Vector Machine Islets of Langerhans Transplantation Humans Machine Learning Algorithms

View on PubMed DOI

Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

Scientific reports Feb 6, 2025

Asthma diagnosis poses challenges due to underreporting of symptoms, misdiagnoses, and limitations in existing diagnostic tests. Machine learning (ML) offers a promising avenue for addressing these challenges by leveraging demographic and clinical da...

Humans Young Adult Adult Asthma Male Machine Learning Algorithms Female Support Vector Machine Middle Aged Bayes Theorem Nutrition Surveys United States

View on PubMed DOI

A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Biomedical physics & engineering express Feb 6, 2025

. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on featu...

Magnetic Resonance Imaging Bayes Theorem Saliva Xerostomia Middle Aged Machine Learning Head and Neck Neoplasms Tomography, X-Ray Computed Support Vector Machine Female Humans Radiomics Male Aged Adult

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.

Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

Optimized machine learning approaches to combine surface-enhanced Raman scattering and infrared data for trace detection of xylazine in illicit opioids.

Enhanced EEG-based cognitive workload detection using RADWT and machine learning.

Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.

Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets.

Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Popular Topics

Recent Journals