AIMC Topic: Support Vector Machine

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Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Male Middle Aged Case-Control Studies Spectroscopy, Near-Infrared Least-Squares Analysis Lung Neoplasms Female Aged Support Vector Machine Adult Early Detection of Cancer Humans Machine Learning Algorithms
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PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs.

Molecular diversity Jul 21, 2024
Protein methyltransferases (PMTs) are a group of enzymes that help catalyze the transfer of a methyl group to its substrates. These enzymes play an important role in epigenetic regulation and can methylate various substrates with DNA, RNA, protein, a...
Machine Learning Support Vector Machine Algorithms Amino Acids Computational Biology Methyltransferases
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Anxiety in young people: Analysis from a machine learning model.

Acta psychologica Jul 20, 2024
The study addresses the detection of anxiety symptoms in young people using artificial intelligence models. Questionnaires such as the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder 7-item scale (GAD-7) are used to collect da...
Humans Adolescent Support Vector Machine Male Machine Learning Anxiety Female Young Adult Anxiety Disorders Surveys and Questionnaires
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Prognosticating global functional outcome in the recurrent ischemic stroke using baseline clinical and pre-clinical features: A machine learning study.

Journal of evaluation in clinical practice Jul 19, 2024
BACKGROUND AND PURPOSE: Recurrent ischemic stroke (RIS) induces additional functional limitations in patients. Prognosticating globally functional outcome (GFO) in RIS patients is thereby important to plan a suitable rehabilitation programme. This st...
Recovery of Function Ischemic Stroke Recurrence Stroke Rehabilitation Male Humans Middle Aged Support Vector Machine Machine Learning Prognosis Female Aged
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Pediatric cardiac surgery: machine learning models for postoperative complication prediction.

Journal of anesthesia Jul 19, 2024
PURPOSE: Managing children undergoing cardiac surgery with cardiopulmonary bypass (CPB) presents a significant challenge for anesthesiologists. Machine Learning (ML)-assisted tools have the potential to enhance the recognition of patients at risk of ...
Male Risk Assessment Postoperative Complications Infant Humans Machine Learning Female Support Vector Machine Area Under Curve Child, Preschool Cardiac Surgical Procedures Child Cardiopulmonary Bypass Logistic Models
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A machine-learning approach for stress detection using wearable sensors in free-living environments.

Computers in biology and medicine Jul 18, 2024
Stress is a psychological condition resulting from the body's response to challenging situations, which can negatively impact physical and mental health if experienced over prolonged periods. Early detection of stress is crucial to prevent chronic he...
Signal Processing, Computer-Assisted Heart Rate Skin Temperature Galvanic Skin Response Electrocardiography Support Vector Machine Monitoring, Physiologic Humans Machine Learning Female Adult Male Stress, Psychological Wearable Electronic Devices
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Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (Ocimum basilicum L.) with machine learning.

Biosensors & bioelectronics Jul 17, 2024
Plant stress diagnosis is essential for efficient crop management and productivity increase. Under stress, plants undergo physiological and compositional changes. Vegetation indices obtained from leaf reflectance spectra and bioimpedance spectroscopy...
Machine Learning Dielectric Spectroscopy Spectroscopy, Near-Infrared Biosensing Techniques Support Vector Machine Salinity Plant Leaves Ocimum basilicum Stress, Physiological Droughts
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Artificial intelligence-based plasma exosome label-free SERS profiling strategy for early lung cancer detection.

Analytical and bioanalytical chemistry Jul 17, 2024
As a lung cancer biomarker, exosomes were utilized for in vitro diagnosis to overcome the lack of sensitivity of conventional imaging and the potential harm caused by tissue biopsy. However, given the inherent heterogeneity of exosomes, the challenge...
Humans Neural Networks, Computer Artificial Intelligence Spectrum Analysis, Raman Biomarkers, Tumor Support Vector Machine Cell Line, Tumor Early Detection of Cancer Lung Neoplasms Exosomes
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Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions.

Scientific reports Jul 17, 2024
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensio...
Fourier Analysis Bayes Theorem Colonic Neoplasms Oligonucleotide Array Sequence Analysis Humans Gene Expression Profiling Machine Learning Lung Neoplasms Algorithms Gene Expression Regulation, Neoplastic Support Vector Machine
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XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer's Disease.

IEEE journal of translational engineering in health and medicine Jul 17, 2024
Brain microstructural changes already occur in the earliest phases of Alzheimer's disease (AD) as evidenced in diffusion magnetic resonance imaging (dMRI) literature. This study investigates the potential of the novel dMRI Apparent Measures Using Red...
Alzheimer Disease Aged Diffusion Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted tau Proteins Brain Male Female Support Vector Machine Amyloid beta-Peptides
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