AIMC Topic: Support Vector Machine

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Programmed for Automatic Bone Disorder Clustering Based on Cumulative Calcium Prediction for Feature Extraction.

Clinical laboratory Aug 1, 2022
BACKGROUND: The prediction of bone disorders varies between ortho-physicians. A precise bone disorder cataloging system is proposed based on a renewed method for estimating calcium value from a radiological image of the bone.
Humans Cluster Analysis Calcium Algorithms Support Vector Machine
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Construction of classification models for pathogenic bacteria based on LIBS combined with different machine learning algorithms.

Applied optics Jul 20, 2022
Bacteria, especially foodborne pathogens, seriously threaten human life and health. Rapid discrimination techniques for foodborne pathogens are still urgently needed. At present, laser-induced breakdown spectroscopy (LIBS), combined with machine lear...
Bacteria Support Vector Machine Spectrum Analysis Machine Learning Algorithms Humans
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A two-step method for paroxysmal atrial fibrillation event detection based on machine learning.

Mathematical biosciences and engineering : MBE Jul 11, 2022
Detection of atrial fibrillation (AF) events is significant for early clinical diagnosis and appropriate intervention. However, in existing detection algorithms for paroxysmal AF (AFp), the location of AF starting and ending points in AFp is not conc...
Algorithms Electrocardiography Humans Atrial Fibrillation Heart Rate Support Vector Machine
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Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Advances in data science and wearable robotic devices present an opportunity to improve rehabilitation outcomes. Some of these devices incorporate electromyography (EMG) electrodes that sense physiological patient activity, making it possible to deve...
Humans Activities of Daily Living Neural Networks, Computer Support Vector Machine Machine Learning Electromyography
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Exploring human activity recognition using feature level fusion of inertial and electromyography data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Wearables are objective tools for human activity recognition (HAR). Advances in wearables enable synchronized multi-sensing within a single device. This has resulted in studies investigating the use of single or multiple wearable sensor modalities fo...
Human Activities Humans Support Vector Machine Electromyography
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Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a critical CVD, can be easily detected from an electrocardiogram (ECG) recording. Automated ECG analysis can help clinicians to identify arrhythmia and preve...
Arrhythmias, Cardiac Electrocardiography Mass Screening Support Vector Machine Bayes Theorem Humans Algorithms
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Sequential Learning on sEMGs in Short- and Long-term Situations via Self-training Semi-supervised Support Vector Machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The purpose of this study it to assess the effect of sequential learning of self-training support vector machine (ST-S3VM) on short- and long-term surface electromyogram (sEMG) datasets. A machine learning-based supervised classi-fier is enabling sta...
Algorithms Support Vector Machine Machine Learning Supervised Machine Learning
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Application of Machine Learning Approaches to Predict Postnatal Growth Failure in Very Low Birth Weight Infants.

Yonsei medical journal Jul 1, 2022
PURPOSE: The aims of the study were to develop and evaluate a machine learning model with which to predict postnatal growth failure (PGF) among very low birth weight (VLBW) infants.
Infant, Very Low Birth Weight Humans Growth Disorders Machine Learning Support Vector Machine Infant, Newborn Infant
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Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques.

Studies in health technology and informatics Jun 29, 2022
Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically collected data from Electronic Health Record (EHR). However, developing and under-developing countries are still struggling to build EHR in their hospita...
Logistic Models Machine Learning Diabetes Mellitus Humans Algorithms Support Vector Machine Bayes Theorem
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Comparison of Data Classification Results for Leap Motion Recovery Gestures.

Studies in health technology and informatics Jun 29, 2022
Static and dynamic gestures are frequently used in activities supporting learning, recovery healthcare, engineering, and 3D games to increase the interactivity between man and machine. The gestures are detected via hardware devices and data is proces...
Algorithms Male Hand Gestures Humans Motion Support Vector Machine Software
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