AIMC Topic: Support Vector Machine

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Machine learning models for classification tasks related to drug safety.

Molecular diversity Jun 10, 2021
In this review, we outline the current trends in the field of machine learning-driven classification studies related to ADME (absorption, distribution, metabolism and excretion) and toxicity endpoints from the past six years (2015-2021). The study fo...
Quantitative Structure-Activity Relationship Tissue Distribution ERG1 Potassium Channel Drug-Related Side Effects and Adverse Reactions Machine Learning Pharmacokinetics Algorithms Support Vector Machine Models, Molecular Drug Design Humans Neural Networks, Computer
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Evaluating machine learning methodologies for identification of cancer driver genes.

Scientific reports Jun 10, 2021
Cancer is driven by distinctive sorts of changes and basic variations in genes. Recognizing cancer driver genes is basic for accurate oncological analysis. Numerous methodologies to distinguish and identify drivers presently exist, but efficient tool...
Web Browser Oncogenes Support Vector Machine Databases, Genetic Biomarkers, Tumor Neoplasms Genomics Computational Biology ROC Curve Algorithms Reproducibility of Results Humans Machine Learning
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Deep Learning Assisted Neonatal Cry Classification Support Vector Machine Models.

Frontiers in public health Jun 10, 2021
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio sign...
Infant, Newborn Infant Deep Learning Humans Support Vector Machine Neural Networks, Computer Machine Learning Algorithms
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Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques.

Journal of healthcare engineering Jun 9, 2021
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately 10% of the world adult population. CKD is a disorder that disrupts normal kidney function. Due to the increasing number of people with CKD, effective...
Adult Renal Insufficiency, Chronic Humans Machine Learning Support Vector Machine Algorithms Artificial Intelligence
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A novel stacking technique for prediction of diabetes.

Computers in biology and medicine Jun 8, 2021
BACKGROUND: Machine Learning (ML) represents a rapidly growing technology that supplies the most effective solutions for solving complex problems. The application of ML techniques in healthcare is gaining more attention because of ML-associated autom...
Humans Logistic Models Diabetes Mellitus Support Vector Machine Neural Networks, Computer Machine Learning
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Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.

Brain and language Jun 7, 2021
Currently there are no reliable means of identifying infants at-risk for later language disorders. Infant neural responses to rhythmic stimuli may offer a solution, as neural tracking of rhythm is atypical in children with developmental language diso...
Humans Infant Speech Child Neural Networks, Computer Machine Learning Support Vector Machine Electroencephalography
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Soil Nutrient Estimation and Mapping in Farmland Based on UAV Imaging Spectrometry.

Sensors (Basel, Switzerland) Jun 6, 2021
Soil nutrient is one of the most important properties for improving farmland quality and product. Imaging spectrometry has the potential for rapid acquisition and real-time monitoring of soil characteristics. This study aims to explore the preprocess...
Farms Support Vector Machine Nutrients Least-Squares Analysis Soil
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Machine learning classification of origins and varieties of Tetrastigma hemsleyanum using a dual-mode microscopic hyperspectral imager.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 5, 2021
A dual-mode microscopic hyperspectral imager (DMHI) combined with a machine learning algorithm for the purpose of classifying origins and varieties of Tetrastigma hemsleyanum (T. hemsleyanum) was developed. By switching the illumination source, the D...
Machine Learning Algorithms Principal Component Analysis Hyperspectral Imaging Support Vector Machine
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Modeling and optimizing callus growth and development in Cannabis sativa using random forest and support vector machine in combination with a genetic algorithm.

Applied microbiology and biotechnology Jun 4, 2021
Plant callus is generally considered to be a mass of undifferentiated cells and can be used for secondary metabolite production, physiological studies, and plant transformation/regeneration. However, there are several types of callus with different m...
Support Vector Machine Cannabis Algorithms Growth and Development Reproducibility of Results
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Machine Learning to Support the Presentation of Complex Pathway Graphs.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Visualization of biological mechanisms by means of pathway graphs is necessary to better understand the often complex underlying system. Manual layout of such pathways or maps of knowledge is a difficult and time consuming process. Node duplication i...
Data Display Machine Learning Support Vector Machine Computational Biology Models, Biological Signal Transduction Humans
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