AIMC Topic: Decision Trees

Clear Filters Showing 391 to 400 of 600 articles

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 Bayes Theorem Discriminant Analysis Africa Neural Networks, Computer Supervised Machine Learning Logistic Models Algorithms Support Vector Machine Climate Change Ecosystem Models, Statistical Statistics, Nonparametric Pollen Fossils
View on PubMed DOI

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...
Molecular Sequence Annotation Gene Ontology Databases, Protein Predictive Value of Tests Markov Chains MEDLINE Humans Algorithms Reproducibility of Results Computational Biology Animals Databases, Genetic Models, Statistical Decision Trees
View on PubMed DOI

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...
Humans Machine Learning Neoplasm Staging Meningioma Meningeal Neoplasms Diffusion Magnetic Resonance Imaging Female Male Middle Aged Decision Trees
View on PubMed DOI

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...
Machine Learning Algorithms Databases, Factual Protein Interaction Maps Humans Decision Trees Metabolic Networks and Pathways Data Mining Saccharomyces cerevisiae Gene Regulatory Networks Computational Biology Escherichia coli Cluster Analysis
View on PubMed DOI

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...
Spectrophotometry, Ultraviolet Melanthiaceae Plant Extracts Support Vector Machine Spectroscopy, Fourier Transform Infrared Decision Trees
View on PubMed DOI

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 Image Interpretation, Computer-Assisted Retinal Diseases Humans Algorithms Deep Learning Decision Trees
View on PubMed DOI

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 ...
Neoplasm Staging Data Mining Recurrence Risk Factors Risk Assessment Neoplasms Diagnosis, Computer-Assisted Nomograms Early Detection of Cancer Decision Trees Data Interpretation, Statistical Machine Learning Decision Support Techniques Electronic Health Records Humans Clinical Decision-Making
View on PubMed DOI

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...
Optic Disk Humans Decision Trees Nerve Net Glaucoma Eye Tomography, Optical Coherence Machine Learning Bayes Theorem Algorithms Regional Blood Flow
View on PubMed DOI

Factors influencing unsafe behaviors: A supervised learning approach.

Accident; analysis and prevention Jun 18, 2018
Despite its potential, the use of machine learning in safety studies had been limited. Considering machine learning's advantage in predictive accuracy, this study used a supervised learning approach to evaluate the relative importance of different co...
Intention Construction Industry Risk-Taking Social Norms ROC Curve Humans Logistic Models Surveys and Questionnaires Decision Trees Supervised Machine Learning
View on PubMed DOI

Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Health Status Regression Analysis Decision Trees Area Under Curve Bayes Theorem Internet Telemedicine Fetus ROC Curve Mobile Applications Logistic Models Support Vector Machine Machine Learning Reproducibility of Results Perception Ultrasonography, Prenatal Algorithms Congenital Abnormalities Diagnosis, Computer-Assisted Pregnancy Humans Female
View on PubMed DOI
Popular Topics
Recent Journals