Cargando…

Comprehensive Decision Tree Models in Bioinformatics

PURPOSE: Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Stiglic, Gregor, Kocbek, Simon, Pernek, Igor, Kokol, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316502/ https://www.ncbi.nlm.nih.gov/pubmed/22479449 http://dx.doi.org/10.1371/journal.pone.0033812

Ejemplares similares

AGRA: analysis of gene ranking algorithms
por: Kocbek, Simon, et al.
Publicado: (2011)

Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models
por: Kocbek, Simon, et al.
Publicado: (2022)

Stability of Ranked Gene Lists in Large Microarray Analysis Studies
por: Stiglic, Gregor, et al.
Publicado: (2010)

Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records
por: Kocbek, Simon, et al.
Publicado: (2018)

Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays
por: Stiglic, Gregor, et al.
Publicado: (2010)

Early detection of type 2 diabetes mellitus using machine learning-based prediction models
por: Kopitar, Leon, et al.
Publicado: (2020)

Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance
por: Callahan, Alison, et al.
Publicado: (2015)

Sentiment Analysis of Social Media Users’ Emotional Response to Sudden Cardiac Arrest During a Football Broadcast
por: Fijačko, Nino, et al.
Publicado: (2023)

A Review of Mortality Risk Prediction Models in Smartphone Applications
por: Fijačko, Nino, et al.
Publicado: (2021)

Age, quality of life and mental well-being in adolescent population: a network model tree analysis
por: Cilar Budler, Leona, et al.
Publicado: (2023)

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data
por: Kocbek, Primoz, et al.
Publicado: (2019)

Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features
por: Stiglic, Gregor, et al.
Publicado: (2015)

Evaluation of Major Online Diabetes Risk Calculators and Computerized Predictive Models
por: Stiglic, Gregor, et al.
Publicado: (2015)

Average time complexity of decision trees
por: Chikalov, Igor, et al.
Publicado: (2011)

Using heterogeneous sources of data and interpretability of prediction models to explain the characteristics of careless respondents in survey data
por: Kopitar, Leon, et al.
Publicado: (2023)

Decision and inhibitory trees and rules for decision tables with many-valued decisions
por: Alsolami, Fawaz, et al.
Publicado: (2019)

Comprehensive Evaluation of College Students' Physical Health and Sports Mode Recommendation Model Based on Decision Tree Classification Model
por: Chen, Wenzheng, et al.
Publicado: (2022)

Decision Rules Derived from Optimal Decision Trees with Hypotheses
por: Azad, Mohammad, et al.
Publicado: (2021)

Supporting Real World Decision Making in Coronary Diseases Using Machine Learning
por: Kokol, Peter, et al.
Publicado: (2021)

Application of the decision tree model in ADHD screening
por: Carreiro, L.R., et al.
Publicado: (2021)

Recruitment decision Tree
por: Marcastel, Fabienne
Publicado: (2016)

Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature
por: Gosak, Lucija, et al.
Publicado: (2022)

Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses
por: Azad, Mohammad, et al.
Publicado: (2021)

Cox model and decision trees: an application to breast cancer data
por: Pereira, Lucas Cardoso, et al.
Publicado: (2022)

On the Depth of Decision Trees with Hypotheses
por: Moshkov, Mikhail
Publicado: (2022)

The clinical decision analysis using decision tree
por: Bae, Jong-Myon
Publicado: (2014)

Building more accurate decision trees with the additive tree
por: Luna, José Marcio, et al.
Publicado: (2019)

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm
por: Yan, Xiaoyu, et al.
Publicado: (2022)

Trend analysis of journal metrics: a new academic library service?
por: Kokol, Peter
Publicado: (2017)

Machine learning on small size samples: A synthetic knowledge synthesis
por: Kokol, Peter, et al.
Publicado: (2022)

Diagnostic decision tree in dementia
por: Wetherell, Julie Loebach, et al.
Publicado: (2003)

Decision trees in epidemiological research
por: Venkatasubramaniam, Ashwini, et al.
Publicado: (2017)

Comprehensive Bioinformatics Analysis of Gasdermin Family of Glioma
por: Zi, Huaduan, et al.
Publicado: (2022)

Health Conditions and Long Working Hours in Europe: A Retrospective Study
por: Korošec, Darja, et al.
Publicado: (2022)

Ophiostomatales Associated with Mediterranean Pine Engraver, Orthotomicus erosus (Coleoptera, Curculionidae) in Dalmatia, Croatia
por: Kovač, Marta, et al.
Publicado: (2022)

Tree diet: reducing the treewidth to unlock FPT algorithms in RNA bioinformatics
por: Marchand, Bertrand, et al.
Publicado: (2022)

Exploring biomedical ontology mappings with graph theory methods
por: Kocbek, Simon, et al.
Publicado: (2017)

Decision Tree Approach for Soil Liquefaction Assessment
por: Gandomi, Amir H., et al.
Publicado: (2013)

Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility
por: Kharait, Sourabh, et al.
Publicado: (2007)

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi
por: Taneja, Sanya B., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5v39i5vff22qajsva3di2aumak