AIMC Topic: Decision Trees

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Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.

IEEE journal of biomedical and health informatics Oct 1, 2019
Single-cell RNA-Sequencing (scRNA-Seq), an advanced sequencing technique, enables biomedical researchers to characterize cell-specific gene expression profiles. Although studies have adapted machine learning algorithms to cluster different cell popul...
Machine Learning Algorithms Cells, Cultured Animals Mice Cluster Analysis Decision Trees Stem Cells Single-Cell Analysis RNA-Seq Gene Regulatory Networks
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Enhancing the security of patients' portals and websites by detecting malicious web crawlers using machine learning techniques.

International journal of medical informatics Sep 25, 2019
INTRODUCTION: There is increasing demand for access to medical information via patients' portals. However, one of the challenges towards widespread utilisation of such service is maintaining the security of those portals. Recent reports show an alarm...
Software Algorithms Support Vector Machine Internet Patient Portals Humans Decision Trees Computer Security Neural Networks, Computer Bayes Theorem Machine Learning
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Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques.

Preventing chronic disease Sep 19, 2019
INTRODUCTION: As one of the most prevalent chronic diseases in the United States, diabetes, especially type 2 diabetes, affects the health of millions of people and puts an enormous financial burden on the US economy. We aimed to develop predictive m...
Models, Biological Behavioral Risk Factor Surveillance System Diabetes Mellitus, Type 2 Decision Trees Area Under Curve Neural Networks, Computer Risk Factors Humans
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Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models.

Computers in biology and medicine Sep 18, 2019
Sub-clinical bovine mastitis decreases milk quality and production. Moreover, sub-clinical mastitis leads to the use of antibiotics with consequent increased risk of the emergence of antibiotic-resistant bacteria. Therefore, early detection of infect...
Milk Early Diagnosis Mastitis, Bovine Diagnosis, Computer-Assisted Asymptomatic Infections Deep Learning Cattle Female Animals Decision Trees
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Building more accurate decision trees with the additive tree.

Proceedings of the National Academy of Sciences of the United States of America Sep 16, 2019
The expansion of machine learning to high-stakes application domains such as medicine, finance, and criminal justice, where making informed decisions requires clear understanding of the model, has increased the interest in interpretable machine learn...
Algorithms Databases, Factual Models, Statistical Decision Trees Programming Languages Machine Learning
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Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

La Radiologia medica Sep 14, 2019
PURPOSE: Development of a fully automatic algorithm for the automatic localization and identification of vertebral bodies in computed tomography (CT).
Aged, 80 and over Young Adult Adult Middle Aged Algorithms Retrospective Studies Aged Datasets as Topic Multidetector Computed Tomography Decision Trees Anatomic Landmarks Spine Humans Machine Learning
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Integration of Cancer Genomics Data for Tree-based Dimensionality Reduction and Cancer Outcome Prediction.

Molecular informatics Sep 6, 2019
Accurate outcome prediction is crucial for precision medicine and personalized treatment of cancer. Researchers have found that multi-dimensional cancer omics studies outperform each data type (mRNA, microRNA, methylation or somatic copy number alter...
Humans Cohort Studies Decision Trees Glioblastoma Carcinoma, Non-Small-Cell Lung Lung Neoplasms Databases, Genetic Gene Expression Regulation, Neoplastic MicroRNAs Support Vector Machine
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

International journal of computer assisted radiology and surgery Sep 4, 2019
PURPOSE: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to treat them. A statistical model could potentially support such treatment decisions. The aim of this study was to compare a previously developed aneurysm...
Decision Trees Aneurysm, Ruptured Intracranial Aneurysm Humans Support Vector Machine Hemodynamics ROC Curve Models, Statistical
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A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.

Preventive veterinary medicine Aug 31, 2019
The effect of body condition score (BCS) on reproductive outcomes is complex, dynamic and non-linear with interaction and confounding. The flexibility inherent in machine learning algorithms makes them attractive for analysing complex data. This stud...
Dairying Logistic Models Body Constitution Decision Trees Animals Machine Learning Models, Biological Reproduction New Zealand Cattle Algorithms Lactation Breeding ROC Curve Female
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A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Machine Learning Prostatic Neoplasms Prostate Retrospective Studies Support Vector Machine Pelvis Male Humans Lymph Node Excision Aged Magnetic Resonance Imaging Middle Aged Decision Trees Aged, 80 and over Lymph Nodes
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