AIMC Topic: Decision Trees

Clear Filters Showing 261 to 270 of 600 articles

Machine Learning for Mortality Analysis in Patients with COVID-19.

International journal of environmental research and public health Nov 12, 2020
This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis wher...
Pandemics COVID-19 SARS-CoV-2 Decision Trees Coronavirus Infections Spain Humans Betacoronavirus Machine Learning Pneumonia, Viral
View on PubMed DOI

In vitro and in vivo performance modelling and optimisation of different dry powder inhalers: A complementary study of neural networks, genetic algorithms and decision trees.

International journal of clinical practice Nov 11, 2020
INTRODUCTION: Aerosol delivery from DPIs could be affected by different factors. This study aimed to evaluate and predict the effects of different factors on drug delivery from DPIs.
Algorithms Decision Trees Administration, Inhalation Dry Powder Inhalers Humans Bronchodilator Agents Neural Networks, Computer
View on PubMed DOI

Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.

PloS one Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Disaster Planning COVID-19 International Cooperation Algorithms Clinical Laboratory Techniques Forecasting Coronavirus Infections Humans Betacoronavirus SARS-CoV-2 Global Health COVID-19 Testing Machine Learning Pneumonia, Viral Risk Assessment Classification Pandemics Reagent Kits, Diagnostic Models, Theoretical Support Vector Machine Decision Trees
View on PubMed DOI

Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model.

Computational intelligence and neuroscience Oct 26, 2020
In the paper, the flight time deviation of Lithuania airports has been analyzed. The supervised machine learning model has been implemented to predict the interval of time delay deviation of new flights. The analysis has been made using seven algorit...
Supervised Machine Learning Airports Neural Networks, Computer Algorithms Support Vector Machine Decision Trees
View on PubMed DOI

Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.

Scientific reports Oct 16, 2020
This paper introduces a study on the classification of aortic stenosis (AS) based on cardio-mechanical signals collected using non-invasive wearable inertial sensors. Measurements were taken from 21 AS patients and 13 non-AS subjects. A feature analy...
Finite Element Analysis Biomedical Engineering Machine Learning Male Algorithms Decision Trees Middle Aged Female Signal Processing, Computer-Assisted Deep Learning Reproducibility of Results Heart Aged Humans Pilot Projects Elasticity Neural Networks, Computer Aortic Valve Stenosis Wavelet Analysis
View on PubMed DOI

Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Predictive Value of Tests Stroke Activities of Daily Living Stroke Rehabilitation Mobility Limitation Treatment Outcome Inpatients Decision Trees Recovery of Function Clinical Decision Rules Machine Learning Databases, Factual Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Middle Aged Humans Risk Assessment
View on PubMed DOI

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Smoking Odds Ratio Alcohol Drinking Medically Underserved Area Surveys and Questionnaires Regression Analysis Diabetes Mellitus, Type 2 Aged Decision Trees Logistic Models Humans Adult Area Under Curve Decision Making Machine Learning Asian People Male Algorithms Waist Circumference Middle Aged Female China Risk Factors
View on PubMed DOI

Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images.

PLoS computational biology Sep 3, 2020
With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these image...
Image Processing, Computer-Assisted Computational Biology Decision Trees Human Umbilical Vein Endothelial Cells Cytological Techniques Humans Machine Learning Algorithms Cell Line, Tumor Pattern Recognition, Automated Gene Knockdown Techniques
View on PubMed DOI

Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

Vascular Aug 24, 2020
OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.
Graft Occlusion, Vascular Blood Vessel Prosthesis Foreign-Body Migration Endoleak Aortic Aneurysm, Abdominal Pattern Recognition, Automated Blood Vessel Prosthesis Implantation Aged Endovascular Procedures Humans Aged, 80 and over Artificial Intelligence Male Prospective Studies Middle Aged Postoperative Complications Female Risk Assessment Risk Factors Time Factors Treatment Outcome Support Vector Machine Decision Trees
View on PubMed DOI

CD-NuSS: A Web Server for the Automated Secondary Structural Characterization of the Nucleic Acids from Circular Dichroism Spectra Using Extreme Gradient Boosting Decision-Tree, Neural Network and Kohonen Algorithms.

Journal of molecular biology Aug 22, 2020
Nucleic acids exhibit a repertoire of conformational preference depending on the sequence and environment. Circular dichroism (CD) is an essential and valuable tool for monitoring such secondary structural conformations of nucleic acids. Nonetheless,...
Neural Networks, Computer Software Algorithms User-Computer Interface Decision Trees Automation Internet Nucleic Acids Nucleic Acid Conformation Circular Dichroism
View on PubMed DOI
Popular Topics
Recent Journals