AIMC Topic: Support Vector Machine

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A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods.

Food chemistry Jul 31, 2024
The misuse of tetracyclines in livestock production poses significant health risks. Thus, establishing convenient detection methods to replace complex laboratory tests for food safety is crucial. In this study, a heterostructure Zn-BTC/IRMOF-3 (denot...
Anti-Bacterial Agents Animals Fluorescence Colorimetry Support Vector Machine Food Contamination Limit of Detection Spectrometry, Fluorescence Metal-Organic Frameworks Tetracyclines
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Prediction of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jul 31, 2024
OBJECTIVES: Radiomics, a recently developed image-processing technology, holds potential in medical diagnostics. This study aimed to propose a machine-learning (ML) model and evaluate its effectiveness in detecting oral squamous cell carcinoma (OSCC)...
Predictive Value of Tests Mouth Neoplasms Aged Adult Male Middle Aged Support Vector Machine Magnetic Resonance Imaging Neoplasm Invasiveness Bone Neoplasms Machine Learning Retrospective Studies Female Carcinoma, Squamous Cell Humans
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Modeling the Impact of Ergonomic Interventions and Occupational Factors on Work-Related Musculoskeletal Disorders in the Neck of Office Workers with Machine Learning Methods.

Journal of research in health sciences Jul 31, 2024
BACKGROUND: Modeling with methods based on machine learning (ML) and artificial intelligence can help understand the complex relationships between ergonomic risk factors and employee health. The aim of this study was to use ML methods to estimate the...
Absenteeism Efficiency Support Vector Machine Neck Occupational Health Musculoskeletal Diseases Workplace Ergonomics Occupational Diseases Risk Factors Adult Male Quality of Life Humans Machine Learning Female
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Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples.

Biosensors Jul 31, 2024
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is widely applied with the use of extracted biological cell samples, but current FNA cytology is labor-intensive, time-consuming, and can lead to the risk ...
Machine Learning Algorithms Thyroid Neoplasms Spectrum Analysis, Raman Humans Neural Networks, Computer Silver Liquid Biopsy Biopsy, Fine-Needle Support Vector Machine Principal Component Analysis Metal Nanoparticles Discriminant Analysis
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: A preliminary study.

Journal of dental education Jul 30, 2024
PURPOSE/OBJECTIVES: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clin...
School Admission Criteria Students, Dental Schools, Dental Female Male Educational Measurement Support Vector Machine Malaysia Decision Trees Education, Dental Academic Performance Artificial Intelligence Machine Learning Algorithms Forecasting Humans
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Predicting recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study.

Archives of gynecology and obstetrics Jul 30, 2024
BACKGROUND: We aimed to develop novel artificial intelligence (AI) models based on early pregnancy features to forecast the likelihood of recurrent gestational diabetes mellitus (GDM) before 14 weeks of gestation in subsequent pregnancies.
Humans Artificial Intelligence Algorithms Retrospective Studies Logistic Models Support Vector Machine Decision Trees Diabetes, Gestational Pregnancy Female Adult Cohort Studies Recurrence
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A SAR and QSAR study on 3CLpro inhibitors of SARS-CoV-2 using machine learning methods.

SAR and QSAR in environmental research Jul 30, 2024
The 3C-like Proteinase (3CLpro) of novel coronaviruses is intricately linked to viral replication, making it a crucial target for antiviral agents. In this study, we employed two fingerprint descriptors (ECFP_4 and MACCS) to comprehensively character...
Protease Inhibitors Cysteine Endopeptidases Betacoronavirus Coronavirus 3C Proteases SARS-CoV-2 Antiviral Agents Support Vector Machine Quantitative Structure-Activity Relationship Machine Learning COVID-19
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Extended dipeptide composition framework for accurate identification of anticancer peptides.

Scientific reports Jul 29, 2024
The identification of anticancer peptides (ACPs) is crucial, especially in the development of peptide-based cancer therapy. The classical models such as Split Amino Acid Composition (SAAC) and Pseudo Amino Acid Composition (PseAAC) lack the incorpora...
Dipeptides Antineoplastic Agents Computational Biology Support Vector Machine Humans Machine Learning Algorithms Reproducibility of Results
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QCL Infrared Spectroscopy Combined with Machine Learning as a Useful Tool for Classifying Acetaminophen Tablets by Brand.

Molecules (Basel, Switzerland) Jul 28, 2024
The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a system for identifying and class...
Principal Component Analysis Tablets Acetaminophen Spectrophotometry, Infrared Machine Learning Algorithms Support Vector Machine Neural Networks, Computer
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Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics.

Scientific reports Jul 27, 2024
The excessive accumulation and malfunctioning of visceral adipose tissue (VAT) is a major determinant of increased risk of obesity-related comorbidities. Thus, risk stratification of people living with obesity according to their amount of VAT is of c...
Humans Machine Learning Female Obesity Decision Trees Absorptiometry, Photon Intra-Abdominal Fat Aged Adult Middle Aged Support Vector Machine
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