AIMC Topic: Support Vector Machine

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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

PloS one Feb 24, 2025
Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates often attributed to late-stage diagnosis. To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems tha...
Algorithms Humans Diagnosis, Computer-Assisted Lung Neoplasms Neural Networks, Computer Deep Learning Support Vector Machine Machine Learning
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Scientific reports Feb 22, 2025
Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice can prevent long-term complications in infants. Non-invasive approaches may be beneficial in settings with limited resources. This feasibility study e...
Jaundice, Neonatal Male Machine Learning Image Processing, Computer-Assisted Humans Bilirubin Support Vector Machine Female Neonatal Screening Infant, Newborn Feasibility Studies Early Diagnosis
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Multi-feature fusion method combining brain functional connectivity and graph theory for schizophrenia classification and neuroimaging markers screening.

Journal of psychiatric research Feb 21, 2025
BACKGROUND: The abnormalities in brain functional connectivity (FC) and graph topology (GT) in patients with schizophrenia (SZ) are unclear. Researchers proposed machine learning algorithms by combining FC or GT to identify SZ from healthy controls. ...
Support Vector Machine Magnetic Resonance Imaging Schizophrenia Young Adult Adult Humans Male Machine Learning Connectome Brain Nerve Net Female
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Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer.

BMC cancer Feb 20, 2025
BACKGROUND: Bladder cancer (BLCA) exists a profound molecular diversity, with basal and luminal subtypes having different prognostic and therapeutic outcomes. Traditional methods for molecular subtyping are often time-consuming and resource-intensive...
Male Middle Aged Deep Learning Support Vector Machine Urinary Bladder Neoplasms Kaplan-Meier Estimate Female Aged Biomarkers, Tumor Humans Prognosis
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Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method.

Scientific reports Feb 20, 2025
The outward appearance of human tongue can reflect changes in blood circulation caused by pathological states, and it has been used as an assisted method for clinical diseases diagnosis for thousands of years in China. The purpose of this study is to...
Algorithms Female Reproducibility of Results Humans Neural Networks, Computer Machine Learning Tongue Hyperspectral Imaging Menstruation Menstruation Disturbances Young Adult Adult 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...
Remote Sensing Technology Forests Satellite Imagery Biomass Machine Learning China Algorithms Support Vector Machine Ecosystem
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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 ...
Principal Component Analysis Heart Diseases Algorithms Support Vector Machine 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 Logistic Models Support Vector Machine Memory, Short-Term Neural Networks, Computer Algorithms Intensive Care Units Respiration, Artificial Humans
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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...
Spectroscopy, Near-Infrared Support Vector Machine Plant Leaves Potassium Phosphorus Least-Squares Analysis Nitrogen Machine Learning Biomass Multivariate Analysis Brachiaria
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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 Support Vector Machine Electroencephalography Transcranial Magnetic Stimulation Male Middle Aged Depressive Disorder, Major
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