AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Decision Trees

Showing 391 to 400 of 528 articles

Clear Filters

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.

International journal of neural systems Apr 11, 2017
Imbalanced classification is related to those problems that have an uneven distribution among classes. In addition to the former, when instances are located into the overlapped areas, the correct modeling of the problem becomes harder. Current soluti...
Machine Learning Algorithms Databases, Factual Decision Trees
View on PubMed DOI

High-accuracy detection of airway obstruction in asthma using machine learning algorithms and forced oscillation measurements.

Computer methods and programs in biomedicine Mar 28, 2017
BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. This is usually detected by spirometry and body plethysmography. These tests, however, require a high degree of collaboration and maximal effort on the p...
Airway Obstruction Asthma Middle Aged Machine Learning Diagnosis, Computer-Assisted Algorithms Decision Trees Adult Humans
View on PubMed DOI

[Intelligent systems tools in the diagnosis of acute coronary syndromes: A systemic review].

Archivos de cardiologia de Mexico Mar 27, 2017
BACKGROUND: Acute myocardial infarction is the leading cause of non-communicable deaths worldwide. Its diagnosis is a highly complex task, for which modelling through automated methods has been attempted. A systematic review of the literature was per...
Artificial Intelligence Algorithms Models, Theoretical Electrocardiography Humans Support Vector Machine Neural Networks, Computer Decision Trees Myocardial Infarction Acute Coronary Syndrome
View on PubMed DOI

Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Male Decision Trees Virus Diseases Electronic Health Records Data Mining Viruses Child, Preschool Female Infant Respiratory Tract Infections Child Hospitalization Humans Adolescent ROC Curve Sensitivity and Specificity Machine Learning Models, Theoretical Retrospective Studies
View on PubMed

Gradient Boosted Decision Tree Classification of Endophthalmitis Versus Uveitis and Lymphoma from Aqueous and Vitreous IL-6 and IL-10 Levels.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics Feb 3, 2017
PURPOSE: To investigate the effectiveness of gradient boosting to classify endophthalmitis versus uveitis and lymphoma by intraocular cytokine levels.
Machine Learning Interleukin-10 Interleukin-6 Water Humans Data Interpretation, Statistical Uveitis Endophthalmitis ROC Curve Lymphoma Decision Trees
View on PubMed DOI

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features.

BMC bioinformatics Dec 23, 2016
BACKGROUND: The human immunodeficiency virus type 1 (HIV-1) aspartic protease is an important enzyme owing to its imperative part in viral development and a causative agent of deadliest disease known as acquired immune deficiency syndrome (AIDS). Dev...
HIV Protease Humans Decision Trees Algorithms Neural Networks, Computer Protein Conformation Amino Acid Sequence HIV Infections Substrate Specificity HIV-1 Computational Biology Data Accuracy
View on PubMed DOI

A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement.

PloS one Nov 11, 2016
Risk assessment of congestive heart failure (CHF) is essential for detection, especially helping patients make informed decisions about medications, devices, transplantation, and end-of-life care. The majority of studies have focused on disease detec...
Severity of Illness Index Case-Control Studies Support Vector Machine Models, Statistical Decision Trees Heart Failure Heart Rate Humans Databases, Factual Prognosis Risk Assessment
View on PubMed DOI

Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc Oct 3, 2016
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. ...
Bayes Theorem Blood Chemical Analysis Blood Cell Count Cats Male Lymphoma Decision Trees Cat Diseases Diagnostic Techniques and Procedures Neural Networks, Computer Machine Learning Algorithms Inflammatory Bowel Diseases Female Animals
View on PubMed DOI

How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach.

Journal of biomedical informatics Sep 19, 2016
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) toward identification of those at high risk of hyperuricemia. Applying the system to general health check-ups is expected to reduce medical costs compared ...
Telemedicine Logistic Models Decision Trees Area Under Curve Humans Hyperuricemia Machine Learning
View on PubMed DOI

In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

BioMed research international Aug 8, 2016
Gamma-aminobutyric acid type-A receptors (GABAARs) belong to multisubunit membrane spanning ligand-gated ion channels (LGICs) which act as the principal mediators of rapid inhibitory synaptic transmission in the human brain. Therefore, the category p...
Support Vector Machine Decision Making Models, Statistical Decision Trees Receptors, GABA-A Databases, Protein Brain Amino Acids Computer Simulation Ligands Humans Reproducibility of Results Amino Acid Motifs Machine Learning Computational Biology Algorithms
View on PubMed DOI
Popular Topics
Recent Journals