AIMC Topic: Support Vector Machine

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Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction.

Scientific reports Jul 3, 2025
Leukemia is the most prevalent form of blood cancer, affecting individuals across all age groups. Early and accurate diagnosis is crucial for effective treatment and improved clinical outcomes. Peripheral blood smear analysis, a key non-invasive diag...
Humans Support Vector Machine Neural Networks, Computer Precursor Cell Lymphoblastic Leukemia-Lymphoma Machine Learning Leukemia Deep Learning
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Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.

Scientific reports Jul 3, 2025
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it is often used to analyze aggregated spectra rather than specific shifts. We introduce Fluorescence Guided Raman Spectroscopy (FGRS) as a methodology e...
Biomarkers, Tumor Cell Line, Tumor Spectrum Analysis, Raman Support Vector Machine Glioblastoma Connexin 43 Humans
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Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum.

Scientific reports Jul 3, 2025
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driv...
Risk Factors Aged Male Middle Aged Algorithms Retrospective Studies Female Decompression, Surgical Laminectomy Ligamentum Flavum Ossification, Heterotopic Postoperative Complications Thoracic Vertebrae Support Vector Machine Humans Cerebrospinal Fluid Leak Machine Learning
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Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease.

BMC psychiatry Jul 3, 2025
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition often accompanied by depression, which exacerbates disease burden and impairs quality of life. Early identification of depression risk in COPD patients rema...
Male Middle Aged Risk Assessment Comorbidity Depression Nutrition Surveys Support Vector Machine Female Risk Factors Aged Pulmonary Disease, Chronic Obstructive Humans Machine Learning
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Ghana Hospitals, District Adult Cross-Sectional Studies ROC Curve Decision Support Systems, Clinical Logistic Models Support Vector Machine Bayes Theorem Humans Pregnancy Female Cesarean Section Young Adult Machine Learning Algorithms Retrospective Studies
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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Scientific reports Jul 2, 2025
Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concern of women. Breast cancer etiology implicates numerous cellular protein receptors such as estrogen receptors (ER), progesterone receptors (PR), and hu...
Prognosis Female Breast Neoplasms Biomarkers, Tumor Humans Triple Negative Breast Neoplasms Support Vector Machine Receptor, ErbB-2 Gene Expression Profiling Transcriptome Gene Regulatory Networks Gene Expression Regulation, Neoplastic
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Improved bio-inspired with machine learning computing approach for thyroid prediction.

Scientific reports Jul 2, 2025
Thyroid illness is widely recognised as a prevalent health condition that can result in a range of health disorders. Thyroid illnesses, namely hypothyroidism and hyperthyroidism, are widespread worldwide and present considerable health consequences. ...
Support Vector Machine Decision Trees Female Humans Deep Learning Neural Networks, Computer Thyroid Diseases Machine Learning Thyroid Gland
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Gait Analysis Machine Learning Female Young Adult Adult Humans Depression Biomechanical Phenomena Support Vector Machine Male Bayes Theorem Anxiety Gait Anxiety Disorders
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Automated grading of rectocele with an MRI radiomics model.

Scientific reports Jul 2, 2025
To develop an automated grading model for rectocele (RC) based on radiomics and evaluate its efficacy. This study retrospectively analyzed a total of 9,392 magnetic resonance imaging (MRI) images obtained from 222 patients who underwent dynamic magne...
Radiomics Male Middle Aged Severity of Illness Index ROC Curve Support Vector Machine Magnetic Resonance Imaging Rectocele Retrospective Studies Female Aged Adult Humans Machine Learning Defecography
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Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion.

BMC medical informatics and decision making Jul 1, 2025
Alzheimer's Disease (AD) poses a significant global health challenge, necessitating early and accurate diagnosis to enable timely interventions. AD is a progressive neurodegenerative disorder that affects millions worldwide and is one of the leading ...
Support Vector Machine Humans Alzheimer Disease Aged Early Diagnosis Deep Learning Neuroimaging
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