AIMC Topic: Support Vector Machine

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Identification and Prediction of Chronic Diseases Using Machine Learning Approach.

Journal of healthcare engineering Feb 25, 2022
Nowadays, humans face various diseases due to the current environmental condition and their living habits. The identification and prediction of such diseases at their earlier stages are much important, so as to prevent the extremity of it. It is diff...
Neural Networks, Computer Algorithms Support Vector Machine Machine Learning Humans Chronic Disease Bayes Theorem
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Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.

Sensors (Basel, Switzerland) Feb 24, 2022
Usage of effective classification techniques on Magnetic Resonance Imaging (MRI) helps in the proper diagnosis of brain tumors. Previous studies have focused on the classification of normal (nontumorous) or abnormal (tumorous) brain MRIs using method...
Magnetic Resonance Imaging Support Vector Machine Neural Networks, Computer Brain Deep Learning
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A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns.

The American journal of drug and alcohol abuse Feb 23, 2022
Substance use disorder (SUD) is a heterogeneous disorder. Adapting machine learning algorithms to allow for the parsing of intrapersonal and interpersonal heterogeneity in meaningful ways may accelerate the discovery and implementation of clinically...
Female Male Bayes Theorem Support Vector Machine Substance-Related Disorders Humans
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TMPpred: A support vector machine-based thermophilic protein identifier.

Analytical biochemistry Feb 23, 2022
MOTIVATION: The thermostability of proteins will cause them to break the temperature binding and play more functions. Using machine learning, we explored the mechanism of and reasons for protein thermostability characteristics.
Machine Learning Support Vector Machine Proteins
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Human health risk identification of petrochemical sites based on extreme gradient boosting.

Ecotoxicology and environmental safety Feb 23, 2022
Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for petrochemical...
Support Vector Machine Neural Networks, Computer Algorithms Soil Risk Assessment Humans
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Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.

Computational intelligence and neuroscience Feb 23, 2022
Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various serious risks like cardiovascular disease, heightened risk, and end-stage renal disease, which can be feasibly avoidable by early detection and treatm...
Machine Learning Algorithms Humans Bayes Theorem Renal Insufficiency, Chronic Support Vector Machine
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Application of Unsupervised Migration Method Based on Deep Learning Model in Basketball Training.

Computational intelligence and neuroscience Feb 23, 2022
Nowadays, China's sports industry has attained effective development, but the athlete's efficiency in the training process is too complex to have a scientific guarantee. Machine learning technology's help in guiding the sports training process has be...
Support Vector Machine Basketball Humans Machine Learning Algorithms Deep Learning
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Mood State Detection in Handwritten Tasks Using PCA-mFCBF and Automated Machine Learning.

Sensors (Basel, Switzerland) Feb 21, 2022
In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the temporal, kinematic, statistical, spectral and ...
Anxiety Support Vector Machine Machine Learning Principal Component Analysis Normal Distribution
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Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Hereditas Feb 21, 2022
Sepsis is a life-threatening condition in which the immune response is directed towards the host tissues, causing organ failure. Since sepsis does not present with specific symptoms, its diagnosis is often delayed. The lack of diagnostic accuracy res...
Algorithms Gene Expression Profiling Humans Support Vector Machine Sepsis Gene Ontology Gene Regulatory Networks
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Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques.

Computational intelligence and neuroscience Feb 21, 2022
INTRODUCTION: Heart disease is emerging as the single most critical cause of death worldwide and is one of the costliest chronic conditions.
Heart Diseases Humans Machine Learning Support Vector Machine Reproducibility of Results Bayes Theorem
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