AIMC Topic: Support Vector Machine

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Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

Molecular diversity Jul 21, 2023
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton's tyrosine kinase (BTK) and to provide interpretable and transparent explanations for these predictions. T...
Machine Learning Algorithms Support Vector Machine Protein Kinase Inhibitors Humans Neural Networks, Computer Agammaglobulinaemia Tyrosine Kinase Tyrosine Kinase Inhibitors
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Machine learning methods for anomaly classification in wastewater treatment plants.

Journal of environmental management Jul 18, 2023
Modern wastewater treatment plants base their biological processes on advanced control systems which ensure compliance with discharge limits and minimize energy consumption responding to information from on-line probes. The correct readings of probes...
Algorithms Water Purification Support Vector Machine Ammonia Artificial Intelligence Machine Learning Neural Networks, Computer
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Identification of key genes in spontaneous cerebral hemorrhage and prevention of disease damage: LASSO and SVM regression.

Preventive medicine Jul 18, 2023
Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be effectively reduced by intervening on the risk factors of intracerebral hemorrhage. By studying the risk factors of spontaneous intracerebral hemorrhage...
Repressor Proteins Risk Factors Cerebral Hemorrhage Support Vector Machine Humans Protein Kinases Biomarkers
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A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2023
Support vector machines (SVMs) are powerful statistical learning tools, but their application to large datasets can cause time-consuming training complexity. To address this issue, various instance selection (IS) approaches have been proposed, which ...
Algorithms Reproducibility of Results Support Vector Machine
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Safe screening rules for multi-view support vector machines.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2023
Multi-view learning aims to make use of the advantages of different views to complement each other and fully mines the potential information in the data. However, the complexity of multi-view learning algorithm is much higher than that of single view...
Algorithms Support Vector Machine
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A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography.

Computer methods and programs in biomedicine Jul 16, 2023
CONTEXT: Continuous blood pressure (BP) monitoring plays an important role while treating various cardiovascular diseases and hypertension. A high correlation between arterial blood pressure (ABP) and Photoplethysmogram (PPG) signal enables using a P...
Humans Photoplethysmography Neural Networks, Computer Support Vector Machine Blood Pressure Determination Blood Pressure
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HRFSVM: identification of fish disease using hybrid Random Forest and Support Vector Machine.

Environmental monitoring and assessment Jul 5, 2023
Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species vary widely, and because they resemble one another so much, it is challenging to distinguish between them based solely on appearance. To stop the spread of...
Animals Environmental Monitoring Machine Learning Algorithms Support Vector Machine Random Forest
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Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Journal of sleep research Jul 4, 2023
Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare system. Continuous positive airway pressure (CPAP) is effective in treating OSA, but adherence to it is often inadequate. A promising solution is to detect...
Middle Aged Electrocardiography Adult Male Polysomnography Algorithms Support Vector Machine Humans Continuous Positive Airway Pressure Female Sleep Apnea, Obstructive Retrospective Studies Machine Learning Aged
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DP-AOP: A novel SVM-based antioxidant proteins identifier.

International journal of biological macromolecules Jul 4, 2023
The identification of antioxidant proteins is a challenging yet meaningful task, as they can protect against the damage caused by some free radicals. In addition to time-consuming, laborious, and expensive experimental identification methods, efficie...
Support Vector Machine Proteins Algorithms Antioxidants
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ADis-QSAR: a machine learning model based on biological activity differences of compounds.

Journal of computer-aided molecular design Jun 29, 2023
Drug candidates identified by the pharmaceutical industry typically have unique structural characteristics to ensure they interact strongly and specifically with their biological targets. Identifying these characteristics is a key challenge for devel...
Drug Development Support Vector Machine Machine Learning Neural Networks, Computer Quantitative Structure-Activity Relationship Algorithms
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