AIMC Topic: Support Vector Machine

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Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol.

Computers in biology and medicine Aug 4, 2019
BACKGROUND: Major depressive disorder (MDD) is one of the leading causes of disability; however, current MDD diagnosis methods lack an objective assessment of depressive symptoms. Here, a machine learning approach to separate MDD patients from health...
Humans Female Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Heart Rate Mental Processes Adult Male Middle Aged Depressive Disorder, Major
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Support Vector Machine Classification of Nonmelanoma Skin Lesions Based on Fluorescence Lifetime Imaging Microscopy.

Analytical chemistry Jul 31, 2019
Early diagnosis of malignant skin lesions is critical for prompt treatment and a clinical prognosis of skin cancers. However, it is difficult to precisely evaluate the development stage of nonmelanoma skin cancers because they are derived from the sa...
Eosine Yellowish-(YS) Hematoxylin Fluorescence Humans Time Factors Skin Neoplasms Support Vector Machine Microscopy, Fluorescence
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Journal of biomedical informatics Jul 30, 2019
AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical softwa...
Humans Neural Networks, Computer Algorithms Databases, Factual Prospective Studies Supervised Machine Learning Longitudinal Studies Risk Factors Models, Statistical Coronary Disease Computational Biology Decision Trees Logistic Models Area Under Curve Support Vector Machine
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Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning.

International journal of neural systems Jul 29, 2019
Imbalance data classification is a challenging task in automatic seizure detection from electroencephalogram (EEG) recordings when the durations of non-seizure periods are much longer than those of seizure activities. An imbalanced learning model is ...
Young Adult Adult Male Electroencephalography Middle Aged Adolescent Humans Seizures Child Algorithms Signal Processing, Computer-Assisted Support Vector Machine Female Wavelet Analysis Models, Neurological
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Machine Vision Methods, Natural Language Processing, and Machine Learning Algorithms for Automated Dispersion Plot Analysis and Chemical Identification from Complex Mixtures.

Analytical chemistry Jul 29, 2019
Gas-phase trace chemical detection techniques such as ion mobility spectrometry (IMS) and differential mobility spectrometry (DMS) can be used in many settings, such as evaluating the health condition of patients or detecting explosives at airports. ...
Complex Mixtures Methyl n-Butyl Ketone Acetates Spectrum Analysis Butanones Gases Humans Software Machine Learning Image Processing, Computer-Assisted Support Vector Machine Natural Language Processing
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G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides.

IEEE/ACM transactions on computational biology and bioinformatics Jul 25, 2019
Cell-penetrating peptides (CPPs) are functional short peptides with high carrying capacity. CPP sequences with targeting functions for the highly efficient delivery of drugs to target cells. In this paper, which is focused on the prediction of the ca...
Machine Learning Models, Statistical Computational Biology Discriminant Analysis Algorithms Support Vector Machine Cell-Penetrating Peptides
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Middle Aged Diagnosis, Computer-Assisted China Support Vector Machine Venous Thrombosis Predictive Value of Tests Acute Disease Portal Vein Reproducibility of Results Risk Factors Adult Male Humans Decision Support Techniques Retrospective Studies Female
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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Female Adult Male Middle Aged Humans Machine Learning Forecasting Republic of Korea Decision Trees Environmental Pollutants Environmental Exposure Mercury ROC Curve Logistic Models Support Vector Machine Lead Cadmium Hypercholesterolemia
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Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

Artificial intelligence in medicine Jul 25, 2019
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born...
Apnea Humans Neural Networks, Computer Algorithms Infant, Newborn Infant, Extremely Premature Deep Learning India Support Vector Machine Infant, Premature Gestational Age Intensive Care Units, Neonatal Clinical Decision Rules Decision Trees Birth Weight Heart Rate Datasets as Topic
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Coronary Artery Disease Data Mining Models, Cardiovascular Humans Female Machine Learning Algorithms Male Databases, Factual Diagnosis, Computer-Assisted Support Vector Machine
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