AIMC Topic: Support Vector Machine

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Cell Wall-Based Machine Learning Models to Predict Plant Growth Using Onion Epidermis.

International journal of molecular sciences Mar 24, 2025
The plant cell wall (CW) is a physical barrier that plays a dual role in plant physiology, providing structural support for growth and development. Understanding the dynamics of CW growth is crucial for optimizing crop yields. In this study, we emplo...
Machine Learning Support Vector Machine Spectroscopy, Fourier Transform Infrared Gene Expression Regulation, Plant Plant Epidermis Cellulose Cell Wall Onions
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Which approach better predicts diabetes: Traditional econometric methods or machine learning? Evidence from a cross-sectional study in South Korea.

Computers in biology and medicine Mar 23, 2025
To prevent chronic disease from getting worse, it is important to detect and predict it at an early stage. Therefore, the accuracy of the prediction is particularly important. To investigate the accuracy of different methods, this study compares the ...
Male Middle Aged Blood Glucose Diabetes Mellitus Support Vector Machine Aged Adult Cross-Sectional Studies Algorithms Republic of Korea Female Humans Machine Learning
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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception-ResNet Model.

Toxins Mar 22, 2025
Aflatoxin B1, a toxic carcinogen frequently contaminating almonds, nuts, and food products, poses significant health risks. Therefore, a rapid and non-destructive detection method is crucial to detect aflatoxin B1-contaminated almonds to ensure food ...
Hyperspectral Imaging Aflatoxin B1 Prunus dulcis Food Contamination Deep Learning Nuts Support Vector Machine
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Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease.

Scientific reports Mar 22, 2025
Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmen...
Humans Machine Learning Pulmonary Disease, Chronic Obstructive Male Female Middle Aged Aged Support Vector Machine Adult
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Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.

Scientific reports Mar 21, 2025
New bronchoscopy techniques like radial probe endobronchial ultrasound have been developed for real-time sampling characterization, but their use is still limited. This study aims to use classification algorithms with minimally invasive electrical im...
Biopsy Dielectric Spectroscopy Decision Trees Bayes Theorem Discriminant Analysis Lung Neoplasms Support Vector Machine Bronchoscopy Humans Machine Learning Algorithms Middle Aged ROC Curve Female Male
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Development of PDAC diagnosis and prognosis evaluation models based on machine learning.

BMC cancer Mar 20, 2025
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is difficult to detect early and highly aggressive, often leading to poor patient prognosis. Existing serum biomarkers like CA19-9 are limited in early diagnosis, failing to meet clinical needs. Mac...
Middle Aged ROC Curve Support Vector Machine Diagnosis, Differential Aged Biomarkers, Tumor Male Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Proportional Hazards Models Humans Prognosis Female Neural Networks, Computer Machine Learning
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Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine.

Environmental monitoring and assessment Mar 19, 2025
The development of machine learning algorithms, along with high-resolution satellite datasets, aids in improved agriculture monitoring and mapping. Nevertheless, the use of high-resolution optical satellite datasets is usually constrained by clouds a...
Machine Learning Algorithms India Agriculture Crops, Agricultural Satellite Imagery Environmental Monitoring Support Vector Machine Random Forest
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Development and validation comparison of multiple models for perioperative neurocognitive disorders during hip arthroplasty.

Scientific reports Mar 19, 2025
This study aims to develop optimal predictive models for perioperative neurocognitive disorders (PND) in hip arthroplasty patients, thereby advancing clinical practice. Data from all hip arthroplasty patients in the MIMIC-IV database were utilized to...
Perioperative Period Neurocognitive Disorders Neural Networks, Computer Support Vector Machine Middle Aged Humans Algorithms Bayes Theorem Aged ROC Curve Female Male Arthroplasty, Replacement, Hip
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Detection of freely moving thoughts using SVM and EEG signals.

Journal of neural engineering Mar 19, 2025
Freely moving thought is a type of thinking that shifts from one topic to another without any overarching direction or aim. The ability to detect when freely moving thought occurs may help us promote its beneficial outcomes, such as for creative thin...
Humans Female Support Vector Machine Young Adult Electroencephalography Attention Adult Thinking Male
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Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques.

Experimental biology and medicine (Maywood, N.J.) Mar 19, 2025
Opioids exert their analgesic effect by binding to the µ opioid receptor (MOR), which initiates a downstream signaling pathway, eventually inhibiting pain transmission in the spinal cord. However, current opioids are addictive, often leading to overd...
Analgesics, Opioid Ligands Humans Receptors, Opioid, mu Machine Learning Deep Learning Protein Binding Support Vector Machine Structure-Activity Relationship
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