AIMC Topic: Decision Trees

Clear Filters Showing 291 to 300 of 600 articles

Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM.

Sensors (Basel, Switzerland) Mar 6, 2020
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accura...
Decision Trees Acceleration Principal Component Analysis Humans Pattern Recognition, Automated Signal Processing, Computer-Assisted Reproducibility of Results Walking Time Factors ROC Curve Support Vector Machine
View on PubMed DOI

Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allo...
Decision Trees Humans Information Storage and Retrieval Natural Language Processing Machine Learning Algorithms Surgical Wound Infection Electronic Health Records Sensitivity and Specificity Logistic Models Support Vector Machine
View on PubMed

Using isotopic envelopes and neural decision tree-based in silico fractionation for biomolecule classification.

Analytica chimica acta Feb 20, 2020
Untargeted mass spectrometry (MS) workflows are more suitable than targeted workflows for high throughput characterization of complex biological samples. However, analysis workflows for untargeted methods are inadequate for characterization of comple...
Computer Simulation Peptides Mass Spectrometry Lipids Decision Trees Neural Networks, Computer
View on PubMed DOI

A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Risk Models, Statistical Decision Trees False Positive Reactions Pulmonary Disease, Chronic Obstructive Humans Male Machine Learning Middle Aged Algorithms Disease Progression Comorbidity Hospitalization ROC Curve Prognosis Aged Decision Support Systems, Clinical Female Inflammation Aged, 80 and over Reproducibility of Results Adult
View on PubMed DOI

Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis.

Clinical pharmacology and therapeutics Feb 17, 2020
Clinical pharmacology is a multidisciplinary data sciences field that utilizes mathematical and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) is a well-recognized tool to characterize disease progression, pharmaco...
Data Analysis Databases, Factual Humans Decision Trees Pharmacology, Clinical Machine Learning
View on PubMed DOI

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

IEEE journal of biomedical and health informatics Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Cluster Analysis Decision Trees Alzheimer Disease Brain Female Aged Aged, 80 and over Male Diagnosis, Computer-Assisted Polymorphism, Single Nucleotide Magnetic Resonance Imaging Humans Machine Learning Algorithms
View on PubMed DOI

Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Models, Statistical Decision Trees Oxygen Water Pollution Temperature Water Humans Environmental Monitoring Machine Learning Water Quality Rivers
View on PubMed DOI

Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Respiratory research Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Humans Machine Learning Intensive Care Units Female Middle Aged Case-Control Studies Decision Trees Respiratory Mechanics Aged Aged, 80 and over Biomedical Research Male Pneumonia, Ventilator-Associated Electronic Nose
View on PubMed DOI

Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model.

International journal of environmental research and public health Jan 23, 2020
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular tool for diagno...
Middle Aged Diagnosis, Computer-Assisted Support Vector Machine Decision Trees Humans Coronary Artery Disease Female Aged, 80 and over Aged Adult Male
View on PubMed DOI

Understanding Opioid Use Disorder (OUD) using tree-based classifiers.

Drug and alcohol dependence Jan 15, 2020
BACKGROUND: Opioid Use Disorder (OUD), defined as a physical or psychological reliance on opioids, is a public health epidemic. Identifying adults likely to develop OUD can help public health officials in planning effective intervention strategies. T...
Female Aged Young Adult Adult Adolescent Male Decision Trees Humans Middle Aged Opioid-Related Disorders Machine Learning Prevalence Databases, Factual
View on PubMed DOI
Popular Topics
Recent Journals