AIMC Topic: Support Vector Machine

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Text mining for modeling of protein complexes enhanced by machine learning.

Bioinformatics (Oxford, England) May 1, 2021
MOTIVATION: Procedures for structural modeling of protein-protein complexes (protein docking) produce a number of models which need to be further analyzed and scored. Scoring can be based on independently determined constraints on the structure of th...
Support Vector Machine Proteins PubMed Data Mining Machine Learning
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Multi-feature gait recognition with DNN based on sEMG signals.

Mathematical biosciences and engineering : MBE Apr 23, 2021
This study proposed a gait recognition method based on the deep neural network of surface electromyography (sEMG) signals to improve the stability and accuracy of gait recognition using sEMG signals of the lower limbs. First, we determined the parame...
Humans Neural Networks, Computer Algorithms Support Vector Machine Electromyography Gait
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Influenza Vaccines Datasets as Topic Black or African American Racism Support Vector Machine Social Media Influenza, Human Humans Neural Networks, Computer Machine Learning
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Inter classifier comparison to detect voice pathologies.

Mathematical biosciences and engineering : MBE Mar 5, 2021
Voice pathologies are irregular vibrations produced due to vocal folds and various factors malfunctioning. In medical science, novel machine learning algorithms are applied to construct a system to identify disorders that occur invoice. This study ai...
Machine Learning Algorithms Support Vector Machine Bayes Theorem
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An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Tuberculosis is the leading cause of death from a single infectious agent. The emergence of antimicrobial resistant Mycobacterium tuberculosis strains makes the problem more severe. Pyrazinamide (PZA) is an important component for short-co...
Drug Resistance, Bacterial Microbial Sensitivity Tests Support Vector Machine Mutation Humans Neural Networks, Computer Machine Learning Antitubercular Agents Pyrazinamide Tuberculosis Mycobacterium tuberculosis
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Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Medical care Mar 1, 2021
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety.
Support Vector Machine Bayes Theorem Thrombocytopenia Female Hospitalization Male Humans Risk Assessment Machine Learning Length of Stay Forecasting Time Factors Hospital Mortality
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[Prediction of epilepsy based on common spatial model algorithm and support vector machine double classification].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2021
At present the prediction method of epilepsy patients is very time-consuming and vulnerable to subjective factors, so this paper presented an automatic recognition method of epilepsy electroencephalogram (EEG) based on common spatial model (CSP) and ...
Humans Electroencephalography Epilepsy Algorithms Signal Processing, Computer-Assisted Support Vector Machine
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Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Nagoya journal of medical science Feb 1, 2021
Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains challenging on cross-sectional images. The aim of this study is to investigate the usefulness of texture features on unenhanced CT for differentiating be...
Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Nasopharyngeal Neoplasms Male Positron Emission Tomography Computed Tomography Humans Middle Aged Female Biopsy Lymphoma ROC Curve Aged Carcinoma Support Vector Machine Adult Radiopharmaceuticals Diagnosis, Differential Area Under Curve
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Reproducibility of Results Adrenergic beta-Antagonists Aged Clinical Decision Rules Mortality End Stage Liver Disease Male Lactulose Rifaximin beta-Lactams Middle Aged Water-Electrolyte Imbalance Kidney Diseases Severity of Illness Index Proton Pump Inhibitors Patient Readmission Humans Logistic Models Hydrothorax Cohort Studies Infections Machine Learning Ascites Liver Cirrhosis Gastrointestinal Hemorrhage Hepatic Encephalopathy ROC Curve Gastrointestinal Agents Anti-Bacterial Agents Support Vector Machine Paracentesis Female
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Early Detection of Hypotension Using a Multivariate Machine Learning Approach.

Military medicine Jan 25, 2021
INTRODUCTION: The ability to accurately detect hypotension in trauma patients at the earliest possible time is important in improving trauma outcomes. The earlier an accurate detection can be made, the more time is available to take corrective action...
Models, Theoretical Neural Networks, Computer Support Vector Machine Machine Learning Hypotension Animals Sheep
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