AIMC Topic: Decision Trees

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[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...
Humans Neural Networks, Computer Support Vector Machine Decision Trees Myocardial Infarction Acute Coronary Syndrome Artificial Intelligence Algorithms Models, Theoretical Electrocardiography
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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...
Data Mining Respiratory Tract Infections Virus Diseases Viruses Male Infant Adolescent Child, Preschool Child ROC Curve Models, Theoretical Decision Trees Electronic Health Records Female Hospitalization Sensitivity and Specificity Humans Machine Learning Retrospective Studies
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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.
Uveitis Endophthalmitis ROC Curve Lymphoma Decision Trees Humans Data Interpretation, Statistical Machine Learning Interleukin-10 Interleukin-6 Water
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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...
Humans Neural Networks, Computer Algorithms HIV Infections Data Accuracy Computational Biology Decision Trees HIV Protease Amino Acid Sequence Protein Conformation HIV-1 Substrate Specificity
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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...
Decision Trees Heart Failure Heart Rate Humans Databases, Factual Prognosis Risk Assessment Severity of Illness Index Case-Control Studies Support Vector Machine Models, Statistical
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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. ...
Neural Networks, Computer Machine Learning Algorithms Inflammatory Bowel Diseases Female Decision Trees Bayes Theorem Blood Chemical Analysis Blood Cell Count Cats Cat Diseases Diagnostic Techniques and Procedures Animals Male Lymphoma
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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 ...
Humans Machine Learning Logistic Models Decision Trees Area Under Curve Hyperuricemia Telemedicine
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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...
Ligands Humans Amino Acid Motifs Machine Learning Receptors, GABA-A Algorithms Brain Computer Simulation Models, Statistical Reproducibility of Results Decision Trees Computational Biology Databases, Protein Support Vector Machine Amino Acids Decision Making
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Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. A Hybrid Method of Decision Tree and Neural Network.

Methods of information in medicine Aug 5, 2016
BACKGROUND: Generally, traumatic brain injury (TBI) patients do not have a stable condition, particularly after the first week of TBI. Hence, indicating the attributes in prognosis through a prediction model is of utmost importance since it helps car...
Glasgow Outcome Scale Middle Aged Models, Theoretical Brain Injuries, Traumatic Decision Trees Humans Neural Networks, Computer Prognosis Aged Adult
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Automated Assessment of Patients' Self-Narratives for Posttraumatic Stress Disorder Screening Using Natural Language Processing and Text Mining.

Assessment Jul 28, 2016
Patients' narratives about traumatic experiences and symptoms are useful in clinical screening and diagnostic procedures. In this study, we presented an automated assessment system to screen patients for posttraumatic stress disorder via a natural la...
Data Mining Early Diagnosis Personality Assessment Decision Trees Narration Natural Language Processing Self Report Diagnosis, Computer-Assisted Adolescent Stress Disorders, Post-Traumatic Mass Screening Algorithms Humans Female Reproducibility of Results Adult
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