AIMC Topic: Support Vector Machine

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TooT-T: discrimination of transport proteins from non-transport proteins.

BMC bioinformatics Apr 23, 2020
BACKGROUND: Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and fu...
Computational Biology Support Vector Machine Amino Acid Sequence Membrane Transport Proteins Machine Learning
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Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features.

Scientific reports Apr 21, 2020
Predicting the occurrence of ventricular tachyarrhythmia (VTA) in advance is a matter of utmost importance for saving the lives of cardiac arrhythmia patients. Machine learning algorithms have been used to predict the occurrence of imminent VTA. In t...
Prognosis Female Aged Machine Learning Algorithms Support Vector Machine Arrhythmias, Cardiac Heart Rate Adult Male Middle Aged Humans Neural Networks, Computer Tachycardia, Ventricular
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Artificial Intelligence: The Future for Diabetes Care.

The American journal of medicine Apr 20, 2020
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms...
Risk Assessment Humans Diagnosis, Computer-Assisted Telemedicine Deep Learning Genomics Machine Learning Diabetic Retinopathy Neural Networks, Computer Decision Support Systems, Clinical Diabetes Mellitus Algorithms Artificial Intelligence Support Vector Machine Image Processing, Computer-Assisted Self-Management Mobile Applications
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Machine Learning Approaches for Quality Assessment of Protein Structures.

Biomolecules Apr 17, 2020
Protein structures play a very important role in biomedical research, especially in drug discovery and design, which require accurate protein structures in advance. However, experimental determinations of protein structure are prohibitively costly an...
Proteins Neural Networks, Computer Models, Molecular Amino Acid Sequence Machine Learning Bayes Theorem Humans Support Vector Machine
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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms.

International journal of environmental research and public health Apr 16, 2020
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susce...
Iran Landslides Logistic Models Support Vector Machine Bayes Theorem Neural Networks, Computer Algorithms
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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

International journal of medical informatics Apr 15, 2020
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation...
Survival Rate Male Middle Aged Humans Hospitalization Neural Networks, Computer Aged Machine Learning Hospital Mortality Female Febrile Neutropenia ROC Curve Support Vector Machine
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Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

NMR in biomedicine Apr 14, 2020
Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imaging modality in oncology yet that noninvasively quantifies microvascular changes in clinical routine. Although blood capillaries cannot be resolved in...
Brain Support Vector Machine Brain Neoplasms Magnetic Resonance Imaging Animals Magnetic Resonance Spectroscopy Mice
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Unified Classification of Bacterial Colonies on Different Agar Media Based on Hyperspectral Imaging and Machine Learning.

Molecules (Basel, Switzerland) Apr 14, 2020
A universal method by considering different types of culture media can enable convenient classification of bacterial species. The study combined hyperspectral technology and versatile chemometric algorithms to achieve the rapid and non-destructive cl...
Hyperspectral Imaging Bacterial Typing Techniques Support Vector Machine Colony Count, Microbial Machine Learning Algorithms Models, Theoretical
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A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning.

Water research Apr 13, 2020
Predicting recreational water quality is one of the most difficult tasks in water management with major implications for humans and society. Many data-driven models have been used to predict water quality indicators to allow a real time assessment of...
New Zealand Water Quality Machine Learning Humans Algorithms Neural Networks, Computer Support Vector Machine
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A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.

Journal of biomedical informatics Apr 13, 2020
OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases(ICD) in Chinese, with the goal to facilitate ...
Support Vector Machine International Classification of Diseases Clinical Coding Neural Networks, Computer China
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