AIMC Topic: Support Vector Machine

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Explainable machine learning for predicting lung metastasis of colorectal cancer.

Scientific reports Apr 19, 2025
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning...
Aged Bayes Theorem Colorectal Neoplasms SEER Program Male Middle Aged Lung Neoplasms Support Vector Machine Humans Machine Learning Algorithms Prognosis Female
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Integrating mass defect filtering and targeted molecular networking for foodomics research: A case study of Magnolia officinalis cortex.

Food research international (Ottawa, Ont.) Apr 18, 2025
Mass spectrometry (MS)-based foodomics is widely used to tackle complex challenges in food science, although its effectiveness is often hampered by extensive data redundancy. To address this limitation, a novel MS-based foodomics strategy, integratin...
Support Vector Machine Glycosides Lignans Magnolia Mass Spectrometry Food Analysis Alkaloids
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Functional connectivity anomalies in medication-naive children with ADHD: Diagnostic potential, symptoms interpretation, and a mediation model.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Apr 18, 2025
OBJECTIVE: To identify reliable electroencephalography (EEG) biomarkers for attention deficit/hyperactivity disorder (ADHD) by investigating anomalous functional connectivity patterns and their clinical relevance.
Nerve Net Attention Deficit Disorder with Hyperactivity Humans Female Male Child Support Vector Machine Electroencephalography
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

Scientific reports Apr 18, 2025
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model....
Machine Learning Algorithms Reproducibility of Results Humans Heart Diseases Logistic Models Support Vector Machine Random Forest
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Exploring the nexus between coastal tourism growth and eutrophication: Challenges for environmental management.

Marine pollution bulletin Apr 16, 2025
Coastal tourism has witnessed rapid growth over the past two decades, often accompanied by increasing environmental concerns, particularly eutrophication in sensitive marine zones. This study explores the relationship between coastal tourism expansio...
Environmental Monitoring Support Vector Machine Water Pollutants, Chemical Eutrophication Conservation of Natural Resources Tourism Mediterranean Sea Nitrogen Phosphorus Water Quality
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Machine learning approaches for assessing medication transfer to human breast milk.

Journal of pharmacokinetics and pharmacodynamics Apr 16, 2025
The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determines the extent to which drugs ingested by the mother pass into breast milk, potentially affecting th...
Humans Neural Networks, Computer Principal Component Analysis Bayes Theorem Pharmaceutical Preparations Breast Feeding Female Milk, Human Support Vector Machine Machine Learning Algorithms
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Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression.

ACS nano Apr 15, 2025
Optical spectroscopy, a noninvasive molecular sensing technique, offers valuable insights into material characterization, molecule identification, and biosample analysis. Despite the informativeness of high-dimensional optical spectra, their interpre...
Amyloid beta-Peptides Alzheimer Disease Spectrum Analysis Principal Component Analysis Discriminant Analysis Machine Learning COVID-19 Algorithms SARS-CoV-2 Logistic Models Support Vector Machine Humans
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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...
Machine Learning Algorithms Drug Discovery Drug Development Support Vector Machine Random Forest
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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...
Humans Machine Learning Support Vector Machine Early Detection of Cancer Algorithms Female Breast Neoplasms
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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.
Prognosis Retrospective Studies Female Humans Machine Learning Algorithms Support Vector Machine Aged Aortic Dissection Male Middle Aged
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