AIMC Topic: Support Vector Machine

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Altered Blood Oxygen Level-Dependent Signal Stability in the Brain of Patients with Major Depressive Disorder Undergoing Resting-State Functional Magnetic Resonance Imaging.

Neuropsychobiology Nov 26, 2024
INTRODUCTION: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with unknown pathogenesis. Previous studies on resting-state functional magnetic resonance imaging of MDD have mostly focused on the spontaneous activity of...
Connectome Middle Aged Thalamus Magnetic Resonance Imaging Brain Mapping Oxygen Humans Brain Female Young Adult Adult Male Depressive Disorder, Major Support Vector Machine
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Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundHealthcare institutions throughout the world rely on medical devices to provide their services reliably and effectively. However, medical devices can, and do sometimes fail. These failures pose significant risk to patients.ObjectiveOne way ...
Artificial Intelligence Machine Learning Algorithms Humans Equipment and Supplies Product Surveillance, Postmarketing Support Vector Machine Equipment Failure Decision Trees
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Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Infusion pumps case study.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve surveillance and maintenance strategies for infusion pumps to enhance patient and healthcare staff safety.ObjectiveThe ultimate goal is to enhance in...
Product Surveillance, Postmarketing Humans Support Vector Machine Artificial Intelligence Bayes Theorem Machine Learning Infusion Pumps Algorithms
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Interaction effect between data discretization and data resampling for class-imbalanced medical datasets.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundData discretization is an important preprocessing step in data mining for the transfer of continuous feature values to discrete ones, which allows some specific data mining algorithms to construct more effective models and facilitates the d...
Humans Algorithms Databases, Factual Support Vector Machine Data Mining
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Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes.

Journal of Alzheimer's disease : JAD Nov 25, 2024
BACKGROUND: Alzheimer's disease (AD) is strongly associated with slowly progressive hippocampal atrophy. Elucidating the relationships between local morphometric changes and disease status for early diagnosis could be aided by machine learning algori...
Multivariate Analysis Neuropsychological Tests Alzheimer Disease Male Hippocampus Cognitive Dysfunction Neuroimaging Cognition Female Support Vector Machine Aged Humans Magnetic Resonance Imaging Aged, 80 and over Machine Learning Organ Size
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Ion channel classification through machine learning and protein language model embeddings.

Journal of integrative bioinformatics Nov 25, 2024
Ion channels are critical membrane proteins that regulate ion flux across cellular membranes, influencing numerous biological functions. The resource-intensive nature of traditional wet lab experiments for ion channel identification has led to an inc...
Humans Computational Biology Support Vector Machine Databases, Protein Neural Networks, Computer Ion Channels Machine Learning Algorithms
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XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets.

Biomolecules Nov 25, 2024
The Explainable Modular Neural Network (XModNN) enables the identification of biomarkers, facilitating the classification of diseases and clinical parameters in transcriptomic datasets. The modules within XModNN represent specific pathways or genes o...
Gene Expression Profiling Female Transcriptome Biomarkers, Tumor Humans Support Vector Machine Male Databases, Genetic Neural Networks, Computer Neuroblastoma Biomarkers
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Potential diagnostic biomarkers in heart failure: Suppressed immune-associated genes identified by bioinformatic analysis and machine learning.

European journal of pharmacology Nov 23, 2024
Heart failure (HF) threatens tens of millions of people's health worldwide, which is the terminal stage in the development of majority cardiovascular diseases. Recently, an increasing number of studies have demonstrated that bioinformatics and machin...
Male Mice Computational Biology Machine Learning Biomarkers Animals Mice, Inbred C57BL Myocardial Infarction Heart Failure Support Vector Machine Databases, Genetic Disease Models, Animal Humans Gene Expression Regulation
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A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa).

Environment international Nov 23, 2024
Quantitative structure-activity relationships (QSARs) have been used to predict mixture toxicity. However, current research faces gaps in achieving accurate predictions of the mixture toxicity of azole fungicides. To address this gap, the application...
Bayes Theorem Fungicides, Industrial Azoles Quantitative Structure-Activity Relationship Chlorophyta Machine Learning Algorithms Support Vector Machine
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Detecting Honey Adulteration: Advanced Approach Using UF-GC Coupled with Machine Learning.

Sensors (Basel, Switzerland) Nov 23, 2024
This article introduces a novel approach to detecting honey adulteration by combining ultra-fast gas chromatography (UF-GC) with advanced machine learning techniques. Machine learning models, particularly support vector regression (SVR) and least abs...
Machine Learning Food Contamination Support Vector Machine Honey Chromatography, Gas
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