AIMC Topic: Support Vector Machine

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Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: Loss of resistance (LOR) is a widely accepted method for performing epidural punctures in clinical settings. However, the risk of failure associated with LOR is still high. Solutions based either on Fiber Bragg grating sensors (FBG) or on ...
Humans Support Vector Machine Signal Processing, Computer-Assisted Artificial Intelligence Fiber Optic Technology Epidural Space Female Equipment Design Male
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Molecular Indicator for Distinguishing Multi-drug-Resistant Tuberculosis from Drug Sensitivity Tuberculosis and Potential Medications for Treatment.

Molecular biotechnology Oct 24, 2024
The issue of multi-drug-resistant tuberculosis (MDR-TB) presents a substantial challenge to global public health. Regrettably, the diagnosis of drug-resistant tuberculosis (DR-TB) frequently necessitates an extended period or more extensive laborator...
Biomarkers Gene Expression Profiling Drug Resistance, Multiple, Bacterial Humans Machine Learning Antitubercular Agents Tuberculosis, Multidrug-Resistant Mycobacterium tuberculosis Computational Biology Support Vector Machine Databases, Genetic
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Robust brain MRI image classification with SIBOW-SVM.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 24, 2024
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting humans. Early detection and classification of brain tumor types, whether benign or malignant, glial or non-glial, is critical for cancer prevention an...
Humans Neural Networks, Computer Algorithms Support Vector Machine Brain Magnetic Resonance Imaging Brain Neoplasms Image Interpretation, Computer-Assisted Deep Learning
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QSPR modeling to predict surface tension of psychoanaleptic drugs using the hybrid DA-SVR algorithm.

Journal of molecular graphics & modelling Oct 23, 2024
A robust Quantitative Structure-Property Relationship (QSPR) model was presented to predict the surface tension property of psychoanaleptic (psychostimulant and antidepressant) drugs. A dataset of 112 molecules was utilized, and three feature selecti...
Support Vector Machine Algorithms Models, Molecular Least-Squares Analysis Quantitative Structure-Activity Relationship Surface Tension
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Decoding wheat contamination through self-assembled whole-cell biosensor combined with linear and non-linear machine learning algorithms.

Biosensors & bioelectronics Oct 21, 2024
The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on human beings and leads to tremendous economic loss. It is essential to develop a rapid and non-destructive method for contamination recognition parti...
Food Contamination Least-Squares Analysis Triticum Mycotoxins Fungi Humans Neural Networks, Computer Algorithms Machine Learning Biosensing Techniques Support Vector Machine
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AI-DPAPT: a machine learning framework for predicting PROTAC activity.

Molecular diversity Oct 19, 2024
Proteolysis Targeting Chimeras are part of targeted protein degradation (TPD) techniques, which are significant for pharmacological and therapy development. Small-molecule interaction with the targeted protein is a complicated endeavor and a challeng...
Proteolysis Machine Learning Algorithms Support Vector Machine
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Biomarkers Molecular Docking Simulation Gene Expression Profiling Diabetic Retinopathy Machine Learning Algorithms Early Diagnosis Molecular Targeted Therapy Gene Regulatory Networks Support Vector Machine Bayes Theorem Humans
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Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm.

Omics : a journal of integrative biology Oct 17, 2024
It is estimated that approximately one in every 100 children is diagnosed with autism spectrum disorder (ASD) around the globe. Currently, there are no curative pharmacological treatments for ASD. Discoveries on key molecular mechanisms of ASD are es...
Support Vector Machine Random Forest Brain Humans Gene Expression Profiling Transcriptome Algorithms Autism Spectrum Disorder
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Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis.

PloS one Oct 16, 2024
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world health. The TB diagnosis phase includes a patient's medical history, physic...
Antitubercular Agents Tuberculosis, Pulmonary Mycobacterium tuberculosis Algorithms Humans Treatment Outcome Retrospective Studies Machine Learning Female Support Vector Machine Sputum Adult Male Middle Aged
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BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models.

Journal of imaging informatics in medicine Oct 14, 2024
Breast cancer is the most common cancer in women globally, imposing a significant burden on global public health due to high death rates. Data from the World Health Organization show an alarming annual incidence of nearly 2.3 million new cases, drawi...
Humans Decision Trees Breast Neoplasms Neural Networks, Computer Principal Component Analysis Deep Learning Algorithms Image Interpretation, Computer-Assisted Support Vector Machine Female
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