AIMC Topic: Decision Trees

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How far have decision tree models come for data mining in drug discovery?

Expert opinion on drug discovery Oct 23, 2018
Machine Learning Molecular Docking Simulation Drug Discovery Decision Trees Humans Data Mining
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Prediction of clinically relevant drug-induced liver injury from structure using machine learning.

Journal of applied toxicology : JAT Oct 16, 2018
Drug-induced liver injury (DILI) is the most common cause of acute liver failure and often responsible for drug withdrawals from the market. Clinical manifestations vary, and toxicity may or may not appear dose-dependent. We present several machine-l...
Decision Trees Cytochrome P-450 CYP3A Chemical and Drug Induced Liver Injury Cytochrome P-450 CYP2D6 Humans Neural Networks, Computer Machine Learning
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An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Humans Risk Factors Sensitivity and Specificity Male Risk Assessment Neural Networks, Computer Algorithms Female Reproducibility of Results Decision Support Systems, Clinical Decision Trees Logistic Models Bayes Theorem Support Vector Machine Patient Discharge Patient Readmission
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Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression.

Computers in biology and medicine Oct 4, 2018
BACKGROUND: The progression of the spinal curve represents one of the major concerns in the assessment of Adolescent Idiopathic Scoliosis (AIS). The prediction of the shape of the spine from the first visit could guide the management of AIS and provi...
Decision Trees Radiography Scoliosis Adolescent Humans Imaging, Three-Dimensional Machine Learning Thoracic Vertebrae Databases, Factual Regression Analysis Disease Progression
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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine Oct 2, 2018
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...
Urinary Tract Infections False Positive Reactions Cystitis ROC Curve Decision Support Systems, Clinical Support Vector Machine Decision Trees Young Adult Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Adolescent Child Machine Learning Algorithms Female Aged Humans Neural Networks, Computer Artificial Intelligence
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A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems.

IEEE transactions on cybernetics Sep 26, 2018
Many real-world optimization problems can be solved by using the data-driven approach only, simply because no analytic objective functions are available for evaluating candidate solutions. In this paper, we address a class of expensive data-driven co...
Electronic Health Records Decision Trees Humans Wounds and Injuries Machine Learning Algorithms
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Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches.

Journal of healthcare engineering Sep 23, 2018
The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis and the body's sensitivity to other hormones and use of energy sources. Hence, it is of prime import...
Thyroid Gland Humans Software Thyroid Neoplasms Ultrasonography Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Imaging, Three-Dimensional Machine Learning Reproducibility of Results Decision Trees Diagnosis, Computer-Assisted Automation
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Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device.

Physiological measurement Sep 13, 2018
OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal quality, small number of leads and short records, leading to incorrect recognition of pathological events. This paper introduces a novel approach to classif...
Wearable Electronic Devices Electrocardiography Humans Atrial Fibrillation Support Vector Machine Wavelet Analysis Reproducibility of Results Decision Trees Multilevel Analysis Heart Rate Determination
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Decision Support Techniques Prospective Studies Female Adult Male Middle Aged Ultrasonography ROC Curve Humans Neural Networks, Computer Machine Learning Algorithms Area Under Curve Hepatitis B, Chronic Logistic Models Liver Cirrhosis Support Vector Machine Decision Trees
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The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

Public health Aug 24, 2018
OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have been previously used for the prediction of cancer in several fields. In our study, we aim to investigate the diagnostic accuracy of three different meth...
Reproducibility of Results Aged Middle Aged Case-Control Studies Neural Networks, Computer Retrospective Studies Female Regression Analysis Humans Decision Trees Endometrial Neoplasms Predictive Value of Tests Postmenopause
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