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Decision Trees

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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.
Female Adult Male Middle Aged Machine Learning Algorithms Decision Support Techniques Prospective Studies Support Vector Machine Decision Trees Area Under Curve Hepatitis B, Chronic Ultrasonography ROC Curve Logistic Models Liver Cirrhosis Humans Neural Networks, Computer
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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...
Endometrial Neoplasms Regression Analysis Decision Trees Predictive Value of Tests Postmenopause Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Aged Middle Aged Case-Control Studies
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Predictive pollen-based biome modeling using machine learning.

PloS one Aug 23, 2018
This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets. We assign modern pollen samples from Africa and Arabia to five biome classes using a previously published Af...
Decision Trees Climate Change Africa Neural Networks, Computer Statistics, Nonparametric Bayes Theorem Logistic Models Algorithms Pollen Discriminant Analysis Support Vector Machine Ecosystem Fossils Supervised Machine Learning Models, Statistical
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Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Journal of biomedical informatics Aug 18, 2018
Gene ontology (GO) provides a representation of terms and categories used to describe genes and their molecular functions, cellular components and biological processes. GO has been the standard for describing the functions of specific genes in differ...
Humans Algorithms Reproducibility of Results Decision Trees Databases, Protein Predictive Value of Tests Markov Chains Animals Computational Biology Databases, Genetic Models, Statistical MEDLINE Molecular Sequence Annotation Gene Ontology
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The diagnostic value of texture analysis in predicting WHO grades of meningiomas based on ADC maps: an attempt using decision tree and decision forest.

European radiology Aug 7, 2018
OBJECTIVES: The preoperative prediction of the WHO grade of a meningioma is important for further treatment plans. This study aimed to assess whether texture analysis (TA) based on apparent diffusion coefficient (ADC) maps could non-invasively classi...
Middle Aged Decision Trees Humans Meningeal Neoplasms Neoplasm Staging Diffusion Magnetic Resonance Imaging Machine Learning Meningioma Female Male
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Mining features for biomedical data using clustering tree ensembles.

Journal of biomedical informatics Jul 29, 2018
The volume of biomedical data available to the machine learning community grows very rapidly. A rational question is how informative these data really are or how discriminant the features describing the data instances are. Several biomedical datasets...
Computational Biology Escherichia coli Cluster Analysis Decision Trees Metabolic Networks and Pathways Algorithms Humans Data Mining Machine Learning Databases, Factual Saccharomyces cerevisiae Protein Interaction Maps Gene Regulatory Networks
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Traceability of wild Paris polyphylla Smith var. yunnanensis based on data fusion strategy of FT-MIR and UV-Vis combined with SVM and random forest.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 24, 2018
Paris polyphylla Smith var. yunnanensis (Franch.) Hand.-Mazz (PPY) was a frequently used herbal medicine in pharmaceutical field and different provenances might affect the clinical efficacy. Tracing the geographical origin was an important portion fo...
Melanthiaceae Support Vector Machine Plant Extracts Spectroscopy, Fourier Transform Infrared Decision Trees Spectrophotometry, Ultraviolet
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Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.

IEEE journal of biomedical and health informatics Jul 16, 2018
Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal layer segmentation is very crucial for doctors to diagnose and study retin...
Tomography, Optical Coherence Retina Algorithms Humans Image Interpretation, Computer-Assisted Deep Learning Retinal Diseases Decision Trees
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A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.

Artificial intelligence in medicine Jul 14, 2018
Advancements are constantly being made in oncology, improving prevention and treatment of cancers. To help reduce the impact and deadliness of cancers, they must be detected early. Additionally, there is a risk of cancers recurring after potentially ...
Risk Assessment Neoplasms Diagnosis, Computer-Assisted Nomograms Decision Support Techniques Electronic Health Records Early Detection of Cancer Humans Clinical Decision-Making Decision Trees Data Mining Machine Learning Risk Factors Data Interpretation, Statistical Recurrence Neoplasm Staging
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Comparison of Machine-Learning Classification Models for Glaucoma Management.

Journal of healthcare engineering Jun 19, 2018
This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with fou...
Decision Trees Tomography, Optical Coherence Bayes Theorem Regional Blood Flow Humans Optic Disk Glaucoma Nerve Net Machine Learning Eye Algorithms
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