AIMC Topic: Support Vector Machine

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Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm.

Computational intelligence and neuroscience Apr 13, 2021
Emotion recognition is a research hotspot in the field of artificial intelligence. If the human-computer interaction system can sense human emotion and express emotion, it will make the interaction between the robot and human more natural. In this pa...
Technology Humans Weather Support Vector Machine Artificial Intelligence Emotions Algorithms
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Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Molecular diversity Apr 12, 2021
Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists. However, low efficacy, off-target delivery, time consumption, and high cost impose a hurdle and challenges that impact drug design a...
Quantitative Structure-Activity Relationship Chemistry Techniques, Synthetic Research Design Support Vector Machine Animals Models, Molecular Humans Drug Design Big Data Data Mining Artificial Intelligence Drug Discovery Drug Development Machine Learning Deep Learning Algorithms
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Density Prediction Models for Energetic Compounds Merely Using Molecular Topology.

Journal of chemical information and modeling Apr 12, 2021
Newly developed high-throughput methods for property predictions make the process of materials design faster and more efficient. Density is an important physical property for energetic compounds to assess detonation velocity and detonation pressure, ...
Neural Networks, Computer Support Vector Machine Quantitative Structure-Activity Relationship Nitro Compounds
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Comparing performance of iterative and non-iterative algorithms on various feature schemes for arrhythmia analysis.

Methods (San Diego, Calif.) Apr 9, 2021
To evaluate the performance of the classic machine learning algorithms and the effectiveness of various features, the iterative algorithms (i.e., support vector machine (SVM), and least-squares SVM (LS-SVM)) and non-iterative algorithms (i.e., random...
Machine Learning Algorithms Support Vector Machine Bayes Theorem Arrhythmias, Cardiac Humans
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Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach.

Sensors (Basel, Switzerland) Apr 8, 2021
Impedance pneumography has been suggested as an ambulatory technique for the monitoring of respiratory diseases. However, its ambulatory nature makes the recordings more prone to noise sources. It is important that such noisy segments are identified ...
Artifacts Humans Support Vector Machine Neural Networks, Computer Machine Learning Electric Impedance Algorithms
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Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach.

Journal of medical Internet research Apr 8, 2021
BACKGROUND: Controlling the COVID-19 outbreak in Brazil is a challenge due to the population's size and urban density, inefficient maintenance of social distancing and testing strategies, and limited availability of testing resources.
Humans Brazil Logistic Models Support Vector Machine COVID-19 Testing Machine Learning COVID-19 SARS-CoV-2
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Clinical Decision-Making Female Risk Factors Aged Decision Support Techniques Retrospective Studies Electronic Health Records Middle Aged Risk Assessment Time Factors Treatment Outcome Adult Dilatation, Pathologic Male Humans Neural Networks, Computer Aortic Rupture Blood Vessel Prosthesis Implantation Support Vector Machine Vascular Remodeling Endovascular Procedures Aortic Dissection Aorta Aortic Aneurysm, Thoracic
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Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion.

Journal of chemical information and modeling Apr 2, 2021
Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better predic...
Machine Learning Support Vector Machine Calcium Compounds Oxides Titanium
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Machine learning approaches to constructing predictive models of vitamin D deficiency in a hypertensive population: a comparative study.

Informatics for health & social care Apr 1, 2021
Given the association between vitamin D deficiency and risk for cardiovascular disease, we used machine learning approaches to establish a model to predict the probability of deficiency. Determination of serum levels of 25-hydroxy vitamin D (25(OH)D...
Support Vector Machine Vitamin D Deficiency Bayes Theorem Machine Learning Algorithms Logistic Models Humans
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Myocardial Infarction Netherlands Patient Readmission Mortality Colectomy Intensive Care Units Multivariate Analysis Female Support Vector Machine Area Under Curve Risk Factors Laparoscopy Aged Length of Stay Humans Logistic Models Colorectal Neoplasms Aged, 80 and over Machine Learning Middle Aged Hypertension Pulmonary Disease, Chronic Obstructive Male Comorbidity Asthma
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