AIMC Topic: Support Vector Machine

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An effective statistical moment-based feature extraction technique to identify the phosphoglycerylation sites from protein sequences.

Journal of molecular graphics & modelling Nov 1, 2025
A kind of covalent modification known as post-translational modification (PTM) happens following the biosynthesis process, which is important in cell biology research. A reversible PTM called Lysine phosphoglycerylation alters glycolytic enzyme activ...
Computational Biology Support Vector Machine Protein Processing, Post-Translational Proteins Amino Acid Sequence Sequence Analysis, Protein Humans Algorithms
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Computational prediction of mutagenicity through comprehensive cell painting analysis.

Mutagenesis Oct 17, 2025
The mutagenicity of chemical compounds is a key consideration in toxicology, drug development, and environmental safety. Traditional methods such as the Ames test, while reliable, are time-intensive and costly. With advances in imaging and machine le...
Mutagenicity Tests Humans Support Vector Machine Machine Learning Mutagens Algorithms Quantitative Structure-Activity Relationship Computational Biology
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Neural evidence for attentional resource allocation to postural control using brain-body imaging.

Behavioural brain research Oct 2, 2025
OBJECTIVE: To examine whether bipedal stance (quiet standing) requires more attentional resources than sitting during a concurrent cognitive task.
Postural Balance Electroencephalography Attention Sitting Position Event-Related Potentials, P300 Humans Adult Male Support Vector Machine Posture Brain Female Young Adult
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Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebrospinal fluid (CSF) body fluid parameters from hematology analyzers to screen for malignant cells.
Middle Aged Support Vector Machine Cerebrospinal Fluid Body Fluids Aged Leukocyte Count Adult Male Humans Machine Learning Algorithms Female
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Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements can compromise their performance and validity in real-world settings. We aimed to evaluate how analy...
Leukocyte Count Blood Sedimentation Support Vector Machine Bias Blood Cell Count Aged Humans Male Machine Learning Middle Aged Female Sepsis
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Compositional analysis of alternative protein blends using near and mid-infrared spectroscopy coupled with conventional and machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 5, 2025
The non-invasive real-time analysis of the composition of alternative, plant-based protein sources is important to control high moisture extrusion processes and ensure the quality and texture of the final extrudates used in the elaboration of meat an...
Plant Proteins Spectroscopy, Near-Infrared Neural Networks, Computer Glutens Support Vector Machine Machine Learning Least-Squares Analysis Spectrophotometry, Infrared Algorithms Discriminant Analysis
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Using Data Mining to Differentiate Dengue with Warning Signs from Severe Dengue: A Predictive Model from Oaxaca, Mexico.

The American journal of tropical medicine and hygiene Sep 3, 2025
Dengue with warning signs (DWS) and severe dengue are significant public health concerns in tropical and subtropical regions globally. Accurate and timely differentiation between these clinical forms of dengue, although crucial, is often complex. In ...
Algorithms Female Young Adult Adult Humans Machine Learning Diagnosis, Differential Data Mining Male Dengue Child, Preschool Middle Aged Severe Dengue Child Adolescent Mexico Support Vector Machine
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We have liftoff: A discovery study to use artificial intelligence to identify adaptative profiles for future space missions.

Physiological reports Sep 1, 2025
Long-duration space missions will challenge astronauts' adaptive capacities. Interoception and heart rate variability (HRV), reflecting parasympathetic activity, are increasingly recognized as predictors of adaptation and health. This study investiga...
Humans Artificial Intelligence Female Heart Rate Astronauts Adaptation, Physiological Space Flight Adult Male Middle Aged Support Vector Machine
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Optimal multimodal feature combination and classifier selection for music-based EEG signal analysis.

Computers in biology and medicine Sep 1, 2025
PURPOSE: Music perception is a fundamental human experience, integral to cognitive and emotional processing, making it a crucial area for neuroscientific investigation. This study examined the neural dynamics underlying music perception and identifie...
Male Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Female Young Adult Adult Music Auditory Perception Humans Algorithms
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Machine learning models for predicting chemotherapy-induced adverse drug reactions in colorectal cancer patients.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Sep 1, 2025
BACKGROUND: Chemotherapy-induced adverse drug reactions (ADRs) are common in patients with colorectal cancer. We developed four machine learning models to predict chemotherapy-induced ADRs and assessed the performance. These models leverage high-dime...
Humans Support Vector Machine Male Machine Learning Fluorouracil Middle Aged Drug-Related Side Effects and Adverse Reactions Antineoplastic Agents Female Capecitabine Organoplatinum Compounds Antineoplastic Combined Chemotherapy Protocols Aged Camptothecin Colorectal Neoplasms Leucovorin
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