AIMC Topic: Support Vector Machine

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Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning.

Scientific reports Feb 20, 2025
Forest aboveground biomass (AGB) is a key indicator reflecting the function and quality of forest ecosystems, and accurate large-scale estimations of forest AGB are essential for effective forest ecosystem management. However, owing to limitations in...
Satellite Imagery Algorithms Ecosystem Biomass Remote Sensing Technology Forests Machine Learning China Support Vector Machine
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An extensive experimental analysis for heart disease prediction using artificial intelligence techniques.

Scientific reports Feb 20, 2025
The heart is an important organ that plays a crucial role in maintaining life. Unfortunately, heart disease is one of the major causes of mortality globally. Early and accurate detection can significantly improve the situation by enabling preventive ...
Heart Diseases Algorithms Support Vector Machine Principal Component Analysis Humans Artificial Intelligence
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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine Feb 19, 2025
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Respiration Humans Logistic Models Algorithms Neural Networks, Computer Support Vector Machine Intensive Care Units Memory, Short-Term Respiration, Artificial
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Unveiling the potential of Brachiaria ruziziensis: Comparative analysis of multivariate and machine learning models for biomass and NPK prediction using Vis-NIR-SWIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 18, 2025
This study investigated the development and validation of predictive models for estimating foliar nitrogen (N), phosphorus (P), and potassium (K) contents, along with shoot dry mass (SDM) of Brachiaria ruziziensis L. The approach utilized Vis-NIR-SWI...
Machine Learning Biomass Plant Leaves Least-Squares Analysis Spectroscopy, Near-Infrared Multivariate Analysis Support Vector Machine Brachiaria Nitrogen Potassium Phosphorus
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Predicting Treatment Response of Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder Using an Explainable Machine Learning Model Based on Electroencephalography and Clinical Features.

Biological psychiatry. Cognitive neuroscience and neuroimaging Feb 18, 2025
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magnetic stimulation (rTMS), and identifying predictive biomarkers is essential for personalized treatment. However, most prior research studies have used ...
Machine Learning Female Adult Humans Treatment Outcome Male Electroencephalography Support Vector Machine Middle Aged Transcranial Magnetic Stimulation Depressive Disorder, Major
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A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population.

Journal of biomedical informatics Feb 17, 2025
OBJECTIVE: Otitis Media (OM) - ear infection - can lead to hearing loss and associated developmental delay. There are several subgroups of OM which can be difficult to diagnose accurately, even for experienced clinicians. AI and machine learning algo...
Otitis Media Otoscopy Acoustic Impedance Tests Child, Preschool Child Support Vector Machine Australian Aboriginal and Torres Strait Islander Peoples Humans Machine Learning Algorithms Female Male
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Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors Feb 17, 2025
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...
Surface Plasmon Resonance Microscopy Machine Learning COVID-19 SARS-CoV-2 Humans Support Vector Machine Neural Networks, Computer Immunoassay Image Processing, Computer-Assisted Biosensing Techniques
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Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification.

Sensors (Basel, Switzerland) Feb 17, 2025
This study explores the link between the emotion "guilt" and human EEG data, and investigates the influence of gender differences on the expression of guilt and neutral emotions in response to visual stimuli. Additionally, the stimuli used in the stu...
Adult Male Support Vector Machine Humans Brain Female Machine Learning Neurosciences Young Adult Emotions Guilt Electroencephalography Sex Factors
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Interpretable machine learning approaches for children's ADHD detection using clinical assessment data: an online web application deployment.

BMC psychiatry Feb 17, 2025
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental disorder characterized by hyperactivity, impulsivity, and inattention. This study aims to develop a verifiable and interpretable machine learning model to identify ADHD...
Female Male Adolescent Child Humans Machine Learning Support Vector Machine Wechsler Scales Internet Attention Deficit Disorder with Hyperactivity
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Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.

The breast journal Feb 17, 2025
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery using machine learning techniques and to explore the role of multifeature fusion. Data from 137 breast cancer postoperative patients with new nodules...
Aged Humans Breast Neoplasms Mastectomy Machine Learning Adult Middle Aged Female Sensitivity and Specificity Support Vector Machine
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