AIMC Topic: Support Vector Machine

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Using Pupil Diameter for Psychological Resilience Assessment in Medical Students Based on SVM and SHAP Model.

IEEE journal of biomedical and health informatics Jul 2, 2024
Effectively assessing psychological resilience for medical students is vital for identifying at-risk individuals and developing tailored interventions. At present, few studies have combined physiological indexes of the human body and machine learning...
Humans Female Young Adult Eye-Tracking Technology Resilience, Psychological Support Vector Machine Pupil Adult Students, Medical Male
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Prediction and Interpretation Microglia Cytotoxicity by Machine Learning.

Journal of chemical information and modeling Jul 1, 2024
Ameliorating microglia-mediated neuroinflammation is a crucial strategy in developing new drugs for neurodegenerative diseases. Plant compounds are an important screening target for the discovery of drugs for the treatment of neurodegenerative diseas...
Machine Learning Support Vector Machine Microglia Humans
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Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population.

Epilepsy research Jul 1, 2024
PURPOSE: This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in...
Female Young Adult Adult Humans Machine Learning Algorithms Child India Treatment Outcome Male Middle Aged Adolescent Seizures Anticonvulsants Support Vector Machine Electroencephalography Epilepsy
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Scaffold-Hopped Compound Identification by Ligand-Based Approaches with a Prospective Affinity Test.

Journal of chemical information and modeling Jul 1, 2024
Scaffold-hopped (SH) compounds are bioactive compounds structurally different from known active compounds. Identifying SH compounds in the ligand-based approaches has been a central issue in medicinal chemistry, and various molecular representations ...
Algorithms Humans Ligands Support Vector Machine Protein Kinase Inhibitors Models, Molecular
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Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes.

Sensors (Basel, Switzerland) Jun 30, 2024
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness dete...
Signal Processing, Computer-Assisted Support Vector Machine Humans Electrodes Machine Learning Bayes Theorem Sleep Stages Algorithms Electroencephalography
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APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features.

Methods (San Diego, Calif.) Jun 28, 2024
Asparagine peptide lyase (APL) is among the seven groups of proteases, also known as proteolytic enzymes, which are classified according to their catalytic residue. APLs are synthesized as precursors or propeptides that undergo self-cleavage through ...
Machine Learning Databases, Protein Software Amino Acid Sequence Computational Biology Support Vector Machine
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An rs-fMRI based neuroimaging marker for adult absence epilepsy.

Epilepsy research Jun 28, 2024
OBJECTIVE: Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study ...
Brain Mapping Neuroimaging Thalamus Epilepsy, Absence Putamen Male Support Vector Machine Magnetic Resonance Imaging Young Adult Adult Humans Sensitivity and Specificity Brain Female
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Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques.

Biomedical physics & engineering express Jun 28, 2024
Presently, close to two million patients globally succumb to gastrointestinal reflux diseases (GERD). Video endoscopy represents cutting-edge technology in medical imaging, facilitating the diagnosis of various gastrointestinal ailments including sto...
Deep Learning Image Processing, Computer-Assisted Support Vector Machine Image Interpretation, Computer-Assisted Automation Gastroesophageal Reflux Humans Neural Networks, Computer Machine Learning Algorithms
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Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion.

Phytochemical analysis : PCA Jun 27, 2024
INTRODUCTION: Identifying the geographical origin of Gastrodia elata Blume contributes to the scientific and rational utilization of medicinal materials. In this study, infrared spectroscopy was combined with machine learning algorithms to distinguis...
Gastrodia Algorithms Geography Spectroscopy, Near-Infrared Support Vector Machine Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Least-Squares Analysis Discriminant Analysis
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Non-destructive prediction of fertility and sex in chicken eggs using the short wave near-infrared region.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 26, 2024
The objective of this study was to evaluate the ability of a handheld near-infrared device (900-1600 nm) to predict fertility and sex (male and female) traits in-ovo. The NIR reflectance spectra of the egg samples were collected on days 0, 7, 14 and ...
Support Vector Machine Female Principal Component Analysis Ovum Animals Spectroscopy, Near-Infrared Discriminant Analysis Male Chickens Fertility Chick Embryo Sex Determination Analysis
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