AIMC Topic: Support Vector Machine

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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences Jul 28, 2021
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Humans Data Accuracy Quantitative Structure-Activity Relationship Chemical and Drug Induced Liver Injury Support Vector Machine Liver Models, Biological Computer Simulation Sensitivity and Specificity
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A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.

Computational and mathematical methods in medicine Jul 27, 2021
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predict the vascu...
Support Vector Machine Aged Fuzzy Logic Kidney Failure, Chronic Adult Humans Machine Learning Middle Aged Computational Biology Male Neural Networks, Computer Algorithms Heart Disease Risk Factors Renal Dialysis Vascular Calcification Logistic Models Female Aorta, Abdominal
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Automated Amharic News Categorization Using Deep Learning Models.

Computational intelligence and neuroscience Jul 27, 2021
For decades, machine learning techniques have been used to process Amharic texts. The potential application of deep learning on Amharic document classification has not been exploited due to a lack of language resources. In this paper, we present a de...
Support Vector Machine Language Deep Learning Neural Networks, Computer Machine Learning
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Female Aged Aged, 80 and over Databases, Factual Prognosis Support Vector Machine Decision Trees Discriminant Analysis Male Middle Aged Humans Decision Support Techniques Supervised Machine Learning Patient Discharge Stroke Rehabilitation Stroke
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Probing machine-learning classifiers using noise, bubbles, and reverse correlation.

Journal of neuroscience methods Jul 25, 2021
BACKGROUND: Many scientific fields now use machine-learning tools to assist with complex classification tasks. In neuroscience, automatic classifiers may be useful to diagnose medical images, monitor electrophysiological signals, or decode perceptual...
Machine Learning Support Vector Machine Neural Networks, Computer
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An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Medical & biological engineering & computing Jul 24, 2021
Breast cancer is one among the most frequent reasons of women's death worldwide. Nowadays, healthcare informatics is mainly focussing on the classification of breast cancer images, due to the lethal nature of this cancer. There are chances of inter- ...
Breast Neural Networks, Computer Breast Neoplasms Female Support Vector Machine Humans
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Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters.

Water research Jul 23, 2021
Predicting water contamination by statistical models is a useful tool to manage health risk in recreational beaches. Extreme contamination events, i.e. those exceeding normative are generally rare with respect to bathing conditions and thus the data ...
Support Vector Machine Machine Learning Models, Statistical Algorithms
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Crack Size Identification for Bearings Using an Adaptive Digital Twin.

Sensors (Basel, Switzerland) Jul 23, 2021
In this research, the aim is to investigate an adaptive digital twin algorithm for fault diagnosis and crack size identification in bearings. The main contribution of this research is to design an adaptive digital twin (ADT). The design of the ADT te...
Reproducibility of Results Support Vector Machine Equipment Failure Analysis Fuzzy Logic Humans Algorithms
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Reflectance spectroscopy with operator difference for determination of behenic acid in edible vegetable oils by using convolutional neural network and polynomial correction.

Food chemistry Jul 22, 2021
A novel polynomial correction method, order-adaptive polynomial correction (OAPC), was proposed to correct reflectance spectra with operator differences, and convolutional neural network (CNN) was used to develop analysis model to predict behenic aci...
Fatty Acids Vegetables Spectrum Analysis Neural Networks, Computer Support Vector Machine Plant Oils
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DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning.

Journal of bioinformatics and computational biology Jul 21, 2021
DNA-binding proteins (DBPs) perform an influential role in diverse biological activities like DNA replication, slicing, repair, and transcription. Some DBPs are indispensable for understanding many types of human cancers (i.e. lung, breast, and liver...
Humans Algorithms DNA-Binding Proteins Support Vector Machine Amino Acid Sequence Computational Biology Databases, Protein Position-Specific Scoring Matrices
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