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Decision Trees

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Brain tumor detection using statistical and machine learning method.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
Reproducibility of Results Brain Neoplasms ROC Curve Image Processing, Computer-Assisted Humans Machine Learning Algorithms Brain Area Under Curve Glioma Bayes Theorem Magnetic Resonance Imaging Pattern Recognition, Automated Models, Statistical Wavelet Analysis Decision Trees
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Predicting Academic Performance of Students Using a Hybrid Data Mining Approach.

Journal of medical systems Apr 30, 2019
Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student's information which can be used to invent valuable pattern pertaining l...
Sex Factors Behavior Academic Performance Interatrial Block Humans Universities Neural Networks, Computer Support Vector Machine India Decision Trees Data Mining
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Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder.

PloS one Apr 25, 2019
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that has heavy consequences on a child's wellbeing, especially in the academic, psychological and relational planes. The current evaluation of the disorder is supported ...
Child Female Decision Trees Humans Attention Deficit Disorder with Hyperactivity Datasets as Topic Male Machine Learning Limbic System Diagnostic and Statistical Manual of Mental Disorders Diagnosis, Computer-Assisted Prognosis Adolescent
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Phy-PMRFI: Phylogeny-Aware Prediction of Metagenomic Functions Using Random Forest Feature Importance.

IEEE transactions on nanobioscience Apr 24, 2019
High-throughput sequencing techniques have accelerated functional metagenomics studies through the generation of large volumes of omics data. The integration of these data using computational approaches is potentially useful for predicting metagenomi...
Pharynx High-Throughput Nucleotide Sequencing Metagenomics Metagenome Databases, Genetic Decision Trees Microbiota Humans Algorithms Phylogeny Support Vector Machine
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Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions.

International journal of computer assisted radiology and surgery Apr 20, 2019
OBJECTIVE: Currently, there is a worldwide shift toward competency-based medical education. This necessitates the use of automated skills assessment methods during self-guided interventions training. Making assessment methods that are transparent and...
Ultrasonography Decision Trees Surgery, Computer-Assisted Education, Medical, Graduate Humans Machine Learning Reproducibility of Results Clinical Competence Radiology, Interventional
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Diagnosis of pain in the right iliac fossa. A new diagnostic score based on Decision-Tree and Artificial Neural Network Methods.

Cirugia espanola Apr 18, 2019
INTRODUCTION: Pain in the right iliac fossa (RIF) continues to pose diagnostic challenges. The objective of this study is the development of a RIF pain diagnosis model based on classification trees of type CHAID (Chi-Square Automatic Interaction Dete...
Middle Aged Female Humans Inflammation Pain Measurement Neural Networks, Computer Reproducibility of Results Decision Trees Appendicitis Adult Diagnosis, Differential Abdominal Pain Male Ilium
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Humans Area Under Curve Support Vector Machine Risk Colon Bayes Theorem Normal Distribution Neural Networks, Computer Models, Statistical Gene Expression Profiling Discriminant Analysis Oncogenes Machine Learning Regression Analysis Logistic Models Colonic Neoplasms Tissue Array Analysis Sensitivity and Specificity Decision Trees
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Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Apr 1, 2019
INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a lear...
Decision Trees Pelvis Retrospective Studies Quality Improvement Organs at Risk Humans Brain Neoplasms Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Machine Learning Cone-Beam Computed Tomography Radiosurgery Radiometry
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Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.

Food research international (Ottawa, Ont.) Mar 28, 2019
Foodborne pathogens such as Listeria spp. contain the ability to survive and multiply in poultry farming environments, which provides a route of contamination for poultry processing environments and final poultry products. An understanding of the eff...
Poultry Products Listeria Chickens Models, Statistical Decision Trees Machine Learning Animals Prevalence Feces
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Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity - A review.

Food research international (Ottawa, Ont.) Mar 28, 2019
In recent years, the variety and volume of data acquired by modern analytical instruments in order to conduct a better authentication of food has dramatically increased. Several pattern recognition tools have been developed to deal with the large vol...
Decision Trees Data Mining Statistics as Topic Food Quality Machine Learning Food Analysis
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