AIMC Topic: Decision Trees

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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 Attention Deficit Disorder with Hyperactivity Decision Trees Male Limbic System Datasets as Topic Diagnosis, Computer-Assisted Adolescent Diagnostic and Statistical Manual of Mental Disorders Humans Machine Learning Prognosis
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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...
Humans Algorithms Phylogeny Metagenome Microbiota Pharynx High-Throughput Nucleotide Sequencing Metagenomics Support Vector Machine Databases, Genetic Decision Trees
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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...
Education, Medical, Graduate Radiology, Interventional Humans Machine Learning Reproducibility of Results Clinical Competence Ultrasonography Decision Trees Surgery, Computer-Assisted
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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...
Female Reproducibility of Results Adult Male Humans Neural Networks, Computer Pain Measurement Appendicitis Abdominal Pain Ilium Middle Aged Inflammation Decision Trees Diagnosis, Differential
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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 ...
Decision Trees Area Under Curve Bayes Theorem Discriminant Analysis Support Vector Machine Models, Statistical Regression Analysis Tissue Array Analysis Colonic Neoplasms Risk Normal Distribution Oncogenes Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity Colon Gene Expression Profiling Logistic Models
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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 Humans Quality Improvement Retrospective Studies Pelvis Radiotherapy Dosage Brain Neoplasms Machine Learning Organs at Risk Radiosurgery Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted 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 Machine Learning Chickens Animals Models, Statistical Prevalence Decision Trees 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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Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

Scientific reports Mar 26, 2019
Tumour budding has been described as an independent prognostic feature in several tumour types. We report for the first time the relationship between tumour budding and survival evaluated in patients with muscle invasive bladder cancer. A machine lea...
Humans Machine Learning Prognosis Female Middle Aged Decision Trees Proportional Hazards Models Cohort Studies Neoplasm Staging Image Processing, Computer-Assisted Kaplan-Meier Estimate Survival Analysis Urinary Bladder Neoplasms Muscles Aged Automation Aged, 80 and over Adult Male
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Predicting factors for survival of breast cancer patients using machine learning techniques.

BMC medical informatics and decision making Mar 22, 2019
BACKGROUND: Breast cancer is one of the most common diseases in women worldwide. Many studies have been conducted to predict the survival indicators, however most of these analyses were predominantly performed using basic statistical methods. As an a...
Decision Trees Adult Breast Neoplasms Middle Aged Support Vector Machine Neural Networks, Computer Prognosis Female Humans
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